Collapse of United States Dynamism of Income Growth and Employment Creation, Interest Rate Risk, Stagnating Real Disposable Income and Consumption Expenditures, Destruction of Household Nonfinancial Wealth with Stagnating Total Real Wealth, United States Commercial Banks Assets and Liabilities, United States Housing Collapse, World Economic Slowdown and Global Recession Risk: Part V

 

Collapse of United States Dynamism of Income Growth and Employment Creation, Interest Rate Risk, Stagnating Real Disposable Income and Consumption Expenditures, Destruction of Household Nonfinancial Wealth with Stagnating Total Real Wealth, United States Commercial Banks Assets and Liabilities, United States Housing Collapse, World Economic Slowdown and Global Recession Risk

Carlos M. Pelaez

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013

Executive Summary

I Stagnating Real Disposable Income and Consumption Expenditures

IA1 Stagnating Real Disposable Income and Consumption Expenditures

IA2 Financial Repression

IB Collapse of United States Dynamism of Income Growth and Employment Creation

IIA Destruction of Household Nonfinancial Wealth with Stagnating Total Real Wealth

IIB United States Commercial Banks Assets and Liabilities

IIA1 Transmission of Monetary Policy

IIB1 Functions of Banks

IIC United States Commercial Banks Assets and Liabilities

IID Theory and Reality of Economic History and Monetary Policy Based on Fear of Deflation

IIE United States Housing Collapse

III World Financial Turbulence

IIIA Financial Risks

IIIE Appendix Euro Zone Survival Risk

IIIF Appendix on Sovereign Bond Valuation

IV Global Inflation

V World Economic Slowdown

VA United States

VB Japan

VC China

VD Euro Area

VE Germany

VF France

VG Italy

VH United Kingdom

VI Valuation of Risk Financial Assets

VII Economic Indicators

VIII Interest Rates

IX Conclusion

References

Appendixes

Appendix I The Great Inflation

IIIB Appendix on Safe Haven Currencies

IIIC Appendix on Fiscal Compact

IIID Appendix on European Central Bank Large Scale Lender of Last Resort

IIIG Appendix on Deficit Financing of Growth and the Debt Crisis

IIIGA Monetary Policy with Deficit Financing of Economic Growth

IIIGB Adjustment during the Debt Crisis of the 1980s

The International Monetary Fund (IMF) provides an international safety net for prevention and resolution of international financial crises. The IMF’s Financial Sector Assessment Program (FSAP) provides analysis of the economic and financial sectors of countries (see Pelaez and Pelaez, International Financial Architecture (2005), 101-62, Globalization and the State, Vol. II (2008), 114-23). Relating economic and financial sectors is a challenging task for both theory and measurement. The IMF (2013WEOOct) provides surveillance of the world economy with its Global Economic Outlook (WEO) (http://www.imf.org/external/pubs/ft/weo/2013/02/), of the world financial system with its Global Financial Stability Report (GFSR) (IMF 2013GFSROct) (http://www.imf.org/External/Pubs/FT/GFSR/2013/02/index.htm) and of fiscal affairs with the Fiscal Monitor (IMF 2013FMOct) (http://www.imf.org/external/pubs/ft/fm/2013/02/fmindex.htm). There appears to be a moment of transition in global economic and financial variables that may prove of difficult analysis and measurement. It is useful to consider global economic and financial risks, which are analyzed in the comments of this blog.

Economic risks include the following:

1. China’s Economic Growth. China is lowering its growth target to 7.5 percent per year. Lu Hui, writing on “China lowers GDP target to achieve quality economic growth, on Mar 12, 2012, published in Beijing by Xinhuanet (http://news.xinhuanet.com/english/china/2012-03/12/c_131461668.htm), informs that Premier Jiabao wrote in a government work report that the GDP growth target will be lowered to 7.5 percent to enhance the quality and level of development of China over the long term. The Third Plenary Session of the 18^th Central Committee of the Communist Party of China adopted unanimously on Nov 15, 2013, a new round of reforms with 300 measures (Xinhuanet, “China details reform decision-making process,” Nov 19, 2013 http://news.xinhuanet.com/english/china/2013-11/19/c_125722517.htm). Growth of GDP relative to a year earlier decelerated from 12.1 percent in IQ2010 to 7.4 percent in IIIQ2012, 7.9 percent in IVQ2012, 7.7 percent in IQ2013 and 7.5 percent in IIQ2013. Growth rebounded to 7.8 percent in IIIQ2013 relative to a year earlier. Growth of secondary industry decelerated from 14.5 percent in IQ2010 to 8.1 percent in IIIQ2012, 8.1 percent in IVQ2012, 7.8 percent in IQ2013 and 7.6 percent in IIQ2013. Growth of secondary industry rebounded to 7.8 percent in IIIQ2013. China’s GDP growth decelerated significantly from annual equivalent 10.8 percent in IIQ2011 to 7.4 percent in IVQ2011 and 5.7 percent in IQ2012, rebounding to 9.1 percent in IIQ2012, 8.2 percent in IIIQ2012 and 7.8 percent in IVQ2012. Annual equivalent growth in IQ2013 fell to 6.1 percent and 7.8 percent in IIQ2013, rebounding to 9.1 percent in IIIQ2013 (http://cmpassocregulationblog.blogspot.com/2013/10/twenty-eight-million-unemployed-or.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/07/tapering-quantitative-easing-policy-and.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/01/recovery-without-hiring-world-inflation.html). There is also ongoing political development in China during a decennial political reorganization with new leadership (http://www.xinhuanet.com/english/special/18cpcnc/index.htm). Xinhuanet informs that Premier Wen Jiabao considers the need for macroeconomic stimulus, arguing that “we should continue to implement proactive fiscal policy and a prudent monetary policy, while giving more priority to maintaining growth” (http://news.xinhuanet.com/english/china/2012-05/20/c_131599662.htm). Premier Wen elaborates that “the country should properly handle the relationship between maintaining growth, adjusting economic structures and managing inflationary expectations” (http://news.xinhuanet.com/english/china/2012-05/20/c_131599662.htm).

2. United States Economic Growth, Labor Markets and Budget/Debt Quagmire. (i) The US is experiencing the first expansion from a recession after World War II without growth and without jobs. GDP growth in the first three quarters of 2013 accumulated to 1.9 percent that is equivalent to 2.6 percent in a year. This is obtained by dividing GDP in IIIQ2013 of $15,839.3 by GDP in IVQ2012 of $15,539.6 and compounding by 4/3: {[($15,839.3/$15,539.6)^4/3 -1]100 = 2.2%}. The US economy grew 2.0 percent in IIIQ2013 relative to the same quarter a year earlier in IIIQ2012. Another important revelation of the revisions and enhancements is that GDP was flat in IVQ2012, which is just at the borderline of contraction. Inventory accumulation with contribution of 1.67 percentage points drove growth of 4.1 percent of GDP at SAAR (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html). Growth is not only mediocre but also sharply decelerating to a rhythm that is not consistent with reduction of unemployment and underemployment of 28.1 million people. (ii) The labor market continues fractured with 28.1 million unemployed or underemployed (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html). (iii) There is a difficult climb from the record federal deficit of 9.8 percent of GDP in 2009 and cumulative deficit of $5090 billion in four consecutive years of deficits exceeding one trillion dollars from 2009 to 2012, which is the worst fiscal performance since World War II (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html http://cmpassocregulationblog.blogspot.com/2012/11/united-states-unsustainable-fiscal.html and earlier Section IB at http://cmpassocregulationblog.blogspot.com/2012/08/expanding-bank-cash-and-deposits-with.html). There is no subsequent jump of debt in US peacetime history as the one from 39.3 percent of GDP in 2008 to 65.8 percent of GDP in 2011 and 70.1 percent in 2012 (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). The US is facing an unsustainable debt/GDP path (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html).

3. Economic Growth and Labor Markets in Advanced Economies. Advanced economies are growing slowly. Japan’s GDP grew 3.1 percent in IQ2012 relative to a year earlier, 0.9 percent in IQ2012 relative to IVQ2011; fell 0.5 percent in IIQ2012 relative to IQ2012, increasing 3.2 percent relative to a year earlier. Japan’s GDP contracted 0.8 percent in IIIQ2012, decreasing 0.2 percent relative to a year earlier, increased 0.1 percent in IVQ2012, decreasing 0.3 percent relative to a year earlier. Japan’s GDP grew 1.1 percent in IQ2013 and 0.1 percent relative to a year earlier; and grew 0.9 percent in IIQ2013, increasing 1.2 percent relative to a year earlier. In IIIQ2013, Japan’s GDP grew 0.3 percent and 2.4 percent relative to a year earlier (http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html). The euro zone’s GDP fell 0.1 in IQ2012 and 0.2 percent relative to a year earlier in IQ2011; but fell 0.3 percent in IIQ2012 and declined 0.5 percent relative to IIQ2011; falling 0.1 percent in IIIQ2012 and declining 0.7 percent relative to a year earlier; fell 0.5 percent in IVQ2012, declining 1.0 percent relative to a year earlier. The GDP of the euro area fell 0.2 percent in IQ2013, decreasing 1.2 percent relative to a year earlier, and increased 0.3 percent in IIQ2013 but fell 0.6 percent relative to a year earlier. In IIIQ2013, the euro area’s GDP increased 0.1 percent and fell 0.4 percent relative to a year earlier. Germany’s GDP grew 0.7 percent in IQ2012 and 1.8 percent relative to IQ2011; decreasing 0.1 percent in IIQ2012 and increasing 0.6 percent relative to IIQ2011; growing 0.2 percent in IIIQ2012 with growth of 0.4 percent relative to a year earlier. The GDP of Germany fell 0.5 percent in IVQ2012, growing 0.0 percent relative to a year earlier; increased 0.0 percent in IQ2013 but fell 1.6 percent relative to a year earlier. The GDP of Germany increased 0.7 percent in IIQ2013 and 0.9 percent relative to a year earlier. In IIIQ2013, Germany’s GDP increased 0.3 percent and 1.1 percent relative to a year earlier. The UK’s GDP fell 0.1 percent in IVQ2011, changed 0.0 percent in IQ2012, fell 0.4 percent in IIQ2012 and changed 0.0 percent in IIQ2012 relative to IIQ2011. In IIIQ2012, the UK grew 0.6 percent relative to IIQ2012 and increased 0.2 percent relative to IIIQ2011. UK GDP contracted 0.1 percent in IVQ2012 and increased 0.2 relative to a year earlier. In IQ2013, UK’s GDP increased 0.5 percent and 0.7 percent relative to a year earlier. UK GDP increased 0.8 percent in IIQ2013 and 2.0 percent relative to a year earlier. In IIIQ2013, UK GDP increased 0.8 percent and 1.9 percent relative to a year earlier. There is still high unemployment in advanced economies

4. World Inflation Waves. Inflation continues in repetitive waves globally (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html).

A list of financial uncertainties includes:

1. Euro Area Survival Risk. The resilience of the euro to fiscal and financial doubts on larger member countries is still an unknown risk. Adjustment programs consist of immediate adoption of economic reforms that would increase future growth permitting fiscal consolidation, which would reduce risk spreads on sovereign debt. Fiscal consolidation is challenging in an environment of weak economic growth as analyzed by Blanchard (2011WEOSep) and consolidation can restrict growth as analyzed by Blanchard (2012WEOApr). Adjustment of countries such as Italy requires depreciation of the currency to parity, as proposed by Caballero and Giavazzi (2012Jan15), but it is not workable within the common currency and zero interest rates in the US. Stronger members at the risk of impairing their own sovereign debt credibility cannot permanently provide bailouts of member countries of the euro area with temporary liquidity challenges

2. Foreign Exchange Wars. Exchange rate struggles continue as zero interest rates in advanced economies induce devaluation of their currencies. After deep global recession, regulation, trade and devaluation wars were to be expected (Pelaez and Pelaez, Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c), 181): “There are significant grounds for concern on the basis of this experience. International economic cooperation and the international financial framework can collapse during extreme events. It is unlikely that there will be a repetition of the disaster of the Great Depression. However, a milder contraction can trigger regulatory, trade and exchange wars”

3. Valuation of Risk Financial Assets. Valuations of risk financial assets have reached extremely high levels in markets with lower volumes. For example, the DJIA has increased 70.1 percent since the trough of the sovereign debt crisis in Europe on Jul 2, 2010 to Dec 27, 2013; S&P 500 has gained 80.1 percent and DAX 69.1 percent. The overwhelming risk factor is the unsustainable Treasury deficit/debt of the United States (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html). A competing event is the high level of valuations of risk financial assets (http://cmpassocregulationblog.blogspot.com/2013/01/peaking-valuation-of-risk-financial.html). Matt Jarzemsky, writing on “Dow industrials set record,” on Mar 5, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324156204578275560657416332.html), analyzes that the DJIA broke the closing high of 14,164.53 set on Oct 9, 2007, and subsequently also broke the intraday high of 14,198.10 reached on Oct 11, 2007. The DJIA closed at 16,478.41 on Fri Dec 27, 2013, which is higher by 16.3 percent than the value of 14,164.53 reached on Oct 9, 2007 and higher by 16.1 percent than the value of 14,198.10 reached on Oct 11, 2007. Values of risk financial are approaching or exceeding historical highs.

The tool of analysis of Cochrane (2011Jan, 27, equation (16)) is the government debt valuation equation:

(M_t + B_t)/P_t = E_t∫(1/R_{t, t+τ})s_t+τdτ (1)

Equation (1) expresses the monetary, M_t, and debt, B_t, liabilities of the government, divided by the price level, P_t, in terms of the expected value discounted by the ex-post rate on government debt, R_{t, t+τ}, of the future primary surpluses s_t+τ, which are equal to T_t+τ – G_t+τ or difference between taxes, T, and government expenditures, G. Cochrane (2010A) provides the link to a web appendix demonstrating that it is possible to discount by the ex post R_{t, t+τ}. The present value of the firm can also be expressed as the discounted future value of net cash flows. Equities can inflate beyond sound values if cash flows that depend on economic activity prove to be illusory in continuing mediocre growth

4. Duration Trap of the Zero Bound. The yield of the US 10-year Treasury rose from 2.031 percent on Mar 9, 2012, to 2.294 percent on Mar 16, 2012. Considering a 10-year Treasury with coupon of 2.625 percent and maturity in exactly 10 years, the price would fall from 105.3512 corresponding to yield of 2.031 percent to 102.9428 corresponding to yield of 2.294 percent, for loss in a week of 2.3 percent but far more in a position with leverage of 10:1. Min Zeng, writing on “Treasurys fall, ending brutal quarter,” published on Mar 30, 2012, in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052702303816504577313400029412564.html?mod=WSJ_hps_sections_markets), informs that Treasury bonds maturing in more than 20 years lost 5.52 percent in the first quarter of 2012. Professor Ronald I. McKinnon (2013Oct27), writing on “Tapering without tears—how to end QE3,” on Oct 27, 2013, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702304799404579153693500945608?KEYWORDS=Ronald+I+McKinnon), finds that the major central banks of the world have fallen into a “near-zero-interest-rate trap.” World economic conditions are weak such that exist from the zero interest rate trap could have adverse effects on production, investment and employment. The maintenance of interest rates near zero creates long-term near stagnation. The proposal of Professor McKinnon is credible, coordinated increase of policy interest rates toward 2 percent. Professor John B. Taylor at Stanford University, writing on “Economic failures cause political polarization,” on Oct 28, 2013, published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702303442004579121010753999086?KEYWORDS=John+B+Taylor), analyzes that excessive risks induced by near zero interest rates in 2003-2004 caused the financial crash. Monetary policy continued in similar paths during and after the global recession with resulting political polarization worldwide.

5. Credibility and Commitment of Central Bank Policy. There is a credibility issue of the commitment of monetary policy. The Federal Open Market Committee (FOMC) decided at its meeting on Dec 12, 2012 to implement the “6.5/2.5” approach (http://www.federalreserve.gov/newsevents/press/monetary/20121212a.htm):

“To support continued progress toward maximum employment and price stability, the Committee expects that a highly accommodative stance of monetary policy will remain appropriate for a considerable time after the asset purchase program ends and the economic recovery strengthens. In particular, the Committee decided to keep the target range for the federal funds rate at 0 to 1/4 percent and currently anticipates that this exceptionally low range for the federal funds rate will be appropriate at least as long as the unemployment rate remains above 6-1/2 percent, inflation between one and two years ahead is projected to be no more than a half percentage point above the Committee’s 2 percent longer-run goal, and longer-term inflation expectations continue to be well anchored.”

At its meeting on Jan 25, 2012, the FOMC began to provide to the public the specific forecasts of interest rates and other economic variables by FOMC members. These forecasts are analyzed in Section IV Global Inflation. Thomas J. Sargent and William L. Silber, writing on “The challenges of the Fed’s bid for transparency,” on Mar 20, published in the Financial Times (http://www.ft.com/intl/cms/s/0/778eb1ce-7288-11e1-9c23-00144feab49a.html#axzz1pexRlsiQ), analyze the costs and benefits of transparency by the Fed. In the analysis of Sargent and Silber (2012Mar20), benefits of transparency by the Fed will exceed costs if the Fed is successful in conveying to the public what policies would be implemented and how forcibly in the presence of unforeseen economic events. History has been unkind to policy commitments. The risk in this case is if the Fed would postpone adjustment because of political pressures as has occurred in the past or because of errors of evaluation and forecasting of economic and financial conditions. Both political pressures and errors abounded in the unhappy stagflation of the 1970s also known as the US Great Inflation (see http://cmpassocregulationblog.blogspot.com/2011/05/slowing-growth-global-inflation-great.html http://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html http://cmpassocregulationblog.blogspot.com/2011/03/is-there-second-act-of-us-great.html and Appendix I The Great Inflation; see Taylor 1993, 1997, 1998LB, 1999, 2012FP, 2012Mar27, 2012Mar28, 2012JMCB and http://cmpassocregulationblog.blogspot.com/2012/06/rules-versus-discretionary-authorities.html). The challenge of the Fed, in the view of Sargent and Silber 2012Mar20), is to convey to the public the need to deviate from the commitment to interest rates of zero to ¼ percent because conditions have changed instead of unwarranted inaction or policy changes. Errors have abounded such as a critical cause of the global recession pointed by Sargent and Silber (2012Mar20): “While no president is known to have explicitly pressurized Mr. Bernanke’s predecessor, Alan Greenspan, he found it easy to maintain low interest rates for too long, fuelling the credit boom and housing bubble that led to the financial crisis in 2008.” Sargent and Silber (2012Mar20) also find need of commitment of fiscal authorities to consolidation needed to attain sustainable path of debt.

The analysis by Kydland and Prescott (1977, 447-80, equation 5) uses the “expectation augmented” Phillips curve with the natural rate of unemployment of Friedman (1968) and Phelps (1968), which in the notation of Barro and Gordon (1983, 592, equation 1) is:

U_t = Uⁿ_t – α(π_t – π^e) α > 0 (1)

Where U_t is the rate of unemployment at current time t, Uⁿ_t is the natural rate of unemployment, π_t is the current rate of inflation and π^e is the expected rate of inflation by economic agents based on current information. Equation (1) expresses unemployment net of the natural rate of unemployment as a decreasing function of the gap between actual and expected rates of inflation. The system is completed by a social objective function, W, depending on inflation, π, and unemployment, U:

W = W(π_t, U_t) (2)

The policymaker maximizes the preferences of the public, (2), subject to the constraint of the tradeoff of inflation and unemployment, (1). The total differential of W set equal to zero provides an indifference map in the Cartesian plane with ordered pairs (π_t, U_t - Uⁿ) such that the consistent equilibrium is found at the tangency of an indifference curve and the Phillips curve in (1). The indifference curves are concave to the origin. The consistent policy is not optimal. Policymakers without discretionary powers following a rule of price stability would attain equilibrium with unemployment not higher than with the consistent policy. The optimal outcome is obtained by the rule of price stability, or zero inflation, and no more unemployment than under the consistent policy with nonzero inflation and the same unemployment. Taylor (1998LB) attributes the sustained boom of the US economy after the stagflation of the 1970s to following a monetary policy rule instead of discretion (see Taylor 1993, 1999).

6. Carry Trades. Commodity prices driven by zero interest rates have resumed their increasing path. Some analytical aspects of the carry trade are instructive (Pelaez and Pelaez, Globalization and the State, Vol. I (2008a), 101-5, Pelaez and Pelaez, Globalization and the State, Vol. II (2008b), 202-4), Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c), 70-4). Consider the following symbols: R_t is the exchange rate of a country receiving carry trade denoted in units of domestic currency per dollars at time t of initiation of the carry trade; R_t+τ is the exchange of the country receiving carry trade denoted in units of domestic currency per dollars at time t+τ when the carry trade is unwound; i_f is the domestic interest rate of the high-yielding country where investment will be made; i_usd is the interest rate on short-term dollar debt assumed to be 0.5 percent per year; i_f >i_usd, which expresses the fact that the interest rate on the foreign country is much higher than that in short-term USD (US dollars); S_t is the dollar value of the investment principal; and π is the dollar profit from the carry trade. The investment of the principal S_t in the local currency debt of the foreign country provides a profit of:

π = (1 + i_f)(R_tS_t)(1/R_t+τ) – (1 + i_usd)S_t (3)

The profit from the carry trade, π, is nonnegative when:

(1 + i_f)/ (1 + i_usd) ≥ R_t+τ/R_t (4)

In words, the difference in interest rate differentials, left-hand side of inequality (4), must exceed the percentage devaluation of the currency of the host country of the carry trade, right hand side of inequality (4). The carry trade must earn enough in the host-country interest rate to compensate for depreciation of the host-country at the time of return to USD. A simple example explains the vulnerability of the carry trade in fixed-income. Let i_f be 0.10 (10 percent), i_usd 0.005 (0.5 percent), S_t USD100 and R_t CUR 1.00/USD. Adopt the fixed-income rule of months of 30 days and years of 360 days. Consider a strategy of investing USD 100 at 10 percent for 30 days with borrowing of USD 100 at 0.5 percent for 30 days. At time t, the USD 100 are converted into CUR 100 and invested at [(30/360)10] equal to 0.833 percent for thirty days. At the end of the 30 days, assume that the rate R_t+30 is still CUR 1/USD such that the return amount from the carry trade is USD 0.833. There is still a loan to be paid [(0.005)(30/360)USD100] equal to USD 0.042. The investor receives the net amount of USD 0.833 minus USD 0.042 or US 0.791. The rate of return on the investment of the USD 100 is 0.791 percent, which is equivalent to the annual rate of return of 9.49 percent {(0.791)(360/30)}. This is incomparably better than earning 0.5 percent. There are alternatives of hedging by buying forward the exchange for conversion back into USD.

Research by the Federal Reserve Bank of St. Louis finds that the dollar declined on average by 6.56 percent in the events of quantitative easing, ranging from depreciation of 10.8 percent relative to the Japanese yen to 3.6 percent relative to the pound sterling (http://research.stlouisfed.org/wp/2010/2010-018.pdf). A critical assumption of Rudiger Dornbusch (1976) in his celebrated analysis of overshooting (Rogoff 2002MF http://www.imf.org/external/np/speeches/2001/kr/112901.pdf) is “that exchange rates and asset markets adjust fast relative to goods markets” (Rudiger Dornbusch 1976, 1162). The market response of a monetary expansion is “to induce an immediate depreciation in the exchange rate and accounts therefore for fluctuations in the exchange rate and the terms of trade. During the adjustment process, rising prices may be accompanied by an appreciating exchange rate so that the trend behavior of exchange rates stands potentially in strong contrast with the cyclical behavior of exchange rates and prices” (Dornbusch 1976, 1162). The volatility of the exchange rate “is needed to temporarily equilibrate the system in response to monetary shocks, because underlying national prices adjust so slowly” (Rogoff 2002MF http://www.imf.org/external/np/speeches/2001/kr/112901.pdf 3). The exchange rate “is identified as a critical channel for the transmission of monetary policy to aggregate demand for domestic output” (Dornbusch 1976, 1162).

In a world of exchange wars, depreciation of the host-country currency can move even faster such that the profits from the carry trade may become major losses. Depreciation is the percentage change in instants against which the interest rate of a day is in the example [(10)(1/360)] or 0.03 percent. Exchange rates move much faster in the real world as in the overshooting model of Dornbusch (1976). Profits in carry trades have greater risks but equally greater returns when the short position in zero interest rates, or borrowing, and on the dollar, are matched with truly agile financial risk assets such as commodities and equities. A simplified analysis could consider the portfolio balance equations A_ij = f(r, x) where A_ij is the demand for i = 1,2,∙∙∙n assets from j = 1,2, ∙∙∙m sectors, r the 1xn vector of rates of return, r_i, of n assets and x a vector of other relevant variables. Tobin (1969) and Brunner and Meltzer (1973) assume imperfect substitution among capital assets such that the own first derivatives of A_ij are positive, demand for an asset increases if its rate of return (interest plus capital gains) is higher, and cross first derivatives are negative, demand for an asset decreases if the rate of return of alternative assets increases. Theoretical purity would require the estimation of the complete model with all rates of return. In practice, it may be impossible to observe all rates of return such as in the critique of Roll (1976). Policy proposals and measures by the Fed have been focused on the likely impact of withdrawals of stocks of securities in specific segments, that is, of effects of one or several specific rates of return among the n possible rates. In fact, the central bank cannot influence investors and arbitrageurs to allocate funds to assets of desired categories such as asset-backed securities that would lower the costs of borrowing for mortgages and consumer loans. Floods of cheap money may simply induce carry trades in arbitrage of opportunities in fast moving assets such as currencies, commodities and equities instead of much lower returns in fixed income securities (see http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html).

The major reason and channel of transmission of unconventional monetary policy is through expectations of inflation. Fisher (1930) provided theoretical and historical relation of interest rates and inflation. Let i_n be the nominal interest rate, i_r the real or inflation-adjusted interest rate and π^e the expectation of inflation in the time term of the interest rate, which are all expressed as proportions. The following expression provides the relation of real and nominal interest rates and the expectation of inflation:

(1 + i_r) = (1 + i_n)/(1 + π^e) (1)

That is, the real interest rate equals the nominal interest rate discounted by the expectation of inflation in time term of the interest rate. Fisher (1933) analyzed the devastating effect of deflation on debts. Nominal debt contracts remained at original principal interest but net worth and income of debtors contracted during deflation. Real interest rates increase during declining inflation. For example, if the interest rate is 3 percent and prices decline 0.2 percent, equation (1) calculates the real interest rate as:

(1 +0.03)/(1 – 0.02) = 1.03/(0.998) = 1.032

That is, the real rate of interest is (1.032 – 1) 100 or 3.2 percent. If inflation were 2 percent, the real rate of interest would be 0.98 percent, or about 1.0 percent {[(1.03/1.02) -1]100 = 0.98%}.

The yield of the one-year Treasury security was quoted in the Wall Street Journal at 0.114 percent on Fri May 17, 2013 (http://online.wsj.com/mdc/page/marketsdata.html?mod=WSJ_topnav_marketdata_main). The expected rate of inflation π^e in the next twelve months is not observed. Assume that it would be equal to the rate of inflation in the past twelve months estimated by the Bureau of Economic Analysis (BLS) at 1.1 percent (http://www.bls.gov/cpi/). The real rate of interest would be obtained as follows:

(1 + 0.00114)/(1 + 0.011) = (1 + r_r) = 0.9902

That is, i_r is equal to 1 – 0.9902 or minus 0.98 percent. Investing in a one-year Treasury security results in a loss of 0.98 percent relative to inflation. The objective of unconventional monetary policy of zero interest rates is to induce consumption and investment because of the loss to inflation of riskless financial assets. Policy would be truly irresponsible if it intended to increase inflationary expectations or π^e. The result could be the same rate of unemployment with higher inflation (Kydland and Prescott 1977).

Current focus is on tapering quantitative easing by the Federal Open Market Committee (FOMC). There is sharp distinction between the two measures of unconventional monetary policy: (1) fixing of the overnight rate of fed funds at 0 to ¼ percent; and (2) outright purchase of Treasury and agency securities and mortgage-backed securities for the balance sheet of the Federal Reserve. Market are overreacting to the so-called “paring” of outright purchases of $85 billion of securities per month for the balance sheet of the Fed (http://www.federalreserve.gov/newsevents/press/monetary/20131218a.htm):

“In light of the cumulative progress toward maximum employment and the improvement in the outlook for labor market conditions, the Committee decided to modestly reduce the pace of its asset purchases. Beginning in January, the Committee will add to its holdings of agency mortgage-backed securities at a pace of $35 billion per month rather than $40 billion per month, and will add to its holdings of longer-term Treasury securities at a pace of $40 billion per month rather than $45 billion per month. The Committee is maintaining its existing policy of reinvesting principal payments from its holdings of agency debt and agency mortgage-backed securities in agency mortgage-backed securities and of rolling over maturing Treasury securities at auction. The Committee's sizable and still-increasing holdings of longer-term securities should maintain downward pressure on longer-term interest rates, support mortgage markets, and help to make broader financial conditions more accommodative, which in turn should promote a stronger economic recovery and help to ensure that inflation, over time, is at the rate most consistent with the Committee's dual mandate.”

What is truly important is the fixing of the overnight fed funds at 0 to ¼ percent for which there is no end in sight as evident in the FOMC statement for Dec 18, 2013 (http://www.federalreserve.gov/newsevents/press/monetary/20131218a.htm):

“To support continued progress toward maximum employment and price stability, the Committee today reaffirmed its view that a highly accommodative stance of monetary policy will remain appropriate for a considerable time after the asset purchase program ends and the economic recovery strengthens. The Committee also reaffirmed its expectation that the current exceptionally low target range for the federal funds rate of 0 to 1/4 percent will be appropriate at least as long as the unemployment rate remains above 6-1/2 percent, inflation between one and two years ahead is projected to be no more than a half percentage point above the Committee's 2 percent longer-run goal, and longer-term inflation expectations continue to be well anchored (emphasis added).

There is a critical phrase in the statement of Sep 19, 2013 (http://www.federalreserve.gov/newsevents/press/monetary/20130918a.htm): “but mortgage rates have risen further.” Did the increase of mortgage rates influence the decision of the FOMC not to taper? Is FOMC “communication” and “guidance” successful? Will the FOMC increase purchases of mortgage-backed securities if mortgage rates increase?

At the confirmation hearing on nomination for Chair of the Board of Governors of the Federal Reserve System, Vice Chair Yellen (2013Nov14 http://www.federalreserve.gov/newsevents/testimony/yellen20131114a.htm), states needs and intentions of policy:

“We have made good progress, but we have farther to go to regain the ground lost in the crisis and the recession. Unemployment is down from a peak of 10 percent, but at 7.3 percent in October, it is still too high, reflecting a labor market and economy performing far short of their potential. At the same time, inflation has been running below the Federal Reserve's goal of 2 percent and is expected to continue to do so for some time.

For these reasons, the Federal Reserve is using its monetary policy tools to promote a more robust recovery. A strong recovery will ultimately enable the Fed to reduce its monetary accommodation and reliance on unconventional policy tools such as asset purchases. I believe that supporting the recovery today is the surest path to returning to a more normal approach to monetary policy.”

In his classic restatement of the Keynesian demand function in terms of “liquidity preference as behavior toward risk,” James Tobin (http://www.nobelprize.org/nobel_prizes/economic-sciences/laureates/1981/tobin-bio.html) identifies the risks of low interest rates in terms of portfolio allocation (Tobin 1958, 86):

“The assumption that investors expect on balance no change in the rate of interest has been adopted for the theoretical reasons explained in section 2.6 rather than for reasons of realism. Clearly investors do form expectations of changes in interest rates and differfrom each other in their expectations. For the purposes of dynamic theory and of analysis of specific market situations, the theories of sections 2 and 3 are complementary rather than competitive. The formal apparatus of section 3 will serve just as well for a non-zero expected capital gain or loss as for a zero expected value of g. Stickiness of interest rate expectations would mean that the expected value of g is a function of the rate of interest r, going down when r goes down and rising when r goes up. In addition to the rotation of the opportunity locus due to a change in r itself, there would be a further rotation in the same direction due to the accompanying change in the expected capital gain or loss. At low interest rates expectation of capital loss may push the opportunity locus into the negative quadrant, so that the optimal position is clearly no consols, all cash. At the other extreme, expectation of capital gain at high interest rates would increase sharply the slope of the opportunity locus and the frequency of no cash, all consols positions, like that of Figure 3.3. The stickier the investor's expectations, the more sensitive his demand for cash will be to changes in the rate of interest (emphasis added).”

Tobin (1969) provides more elegant, complete analysis of portfolio allocation in a general equilibrium model. The major point is equally clear in a portfolio consisting of only cash balances and a perpetuity or consol. Let g be the capital gain, r the rate of interest on the consol and r^e the expected rate of interest. The rates are expressed as proportions. The price of the consol is the inverse of the interest rate, (1+r^e). Thus, g = [(r/r^e) – 1]. The critical analysis of Tobin is that at extremely low interest rates there is only expectation of interest rate increases, that is, dr^e>0, such that there is expectation of capital losses on the consol, dg<0. Investors move into positions combining only cash and no consols. Valuations of risk financial assets would collapse in reversal of long positions in carry trades with short exposures in a flight to cash. There is no exit from a central bank created liquidity trap without risks of financial crash and another global recession. The net worth of the economy depends on interest rates. In theory, “income is generally defined as the amount a consumer unit could consume (or believe that it could) while maintaining its wealth intact” (Friedman 1957, 10). Income, Y, is a flow that is obtained by applying a rate of return, r, to a stock of wealth, W, or Y = rW (Ibid). According to a subsequent statement: “The basic idea is simply that individuals live for many years and that therefore the appropriate constraint for consumption is the long-run expected yield from wealth r*W. This yield was named permanent income: Y* = r*W” (Darby 1974, 229), where * denotes permanent. The simplified relation of income and wealth can be restated as:

W = Y/r (10

Equation (1) shows that as r goes to zero, r→0, W grows without bound, W→∞. Unconventional monetary policy lowers interest rates to increase the present value of cash flows derived from projects of firms, creating the impression of long-term increase in net worth. An attempt to reverse unconventional monetary policy necessarily causes increases in interest rates, creating the opposite perception of declining net worth. As r→∞, W = Y/r →0. There is no exit from unconventional monetary policy without increasing interest rates with resulting pain of financial crisis and adverse effects on production, investment and employment.

The argument that anemic population growth causes “secular stagnation” in the US (Hansen 1938, 1939, 1941) is as misplaced currently as in the late 1930s (for early dissent see Simons 1942). There is currently population growth in the ages of 16 to 24 years but not enough job creation and discouragement of job searches for all ages (http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html). This is merely another case of theory without reality with dubious policy proposals.

In delivering the biannual report on monetary policy (Board of Governors 2013Jul17), Chairman Bernanke (2013Jul17) advised Congress that:

“Instead, we are providing additional policy accommodation through two distinct yet complementary policy tools. The first tool is expanding the Federal Reserve's portfolio of longer-term Treasury securities and agency mortgage-backed securities (MBS); we are currently purchasing $40 billion per month in agency MBS and $45 billion per month in Treasuries. We are using asset purchases and the resulting expansion of the Federal Reserve's balance sheet primarily to increase the near-term momentum of the economy, with the specific goal of achieving a substantial improvement in the outlook for the labor market in a context of price stability. We have made some progress toward this goal, and, with inflation subdued, we intend to continue our purchases until a substantial improvement in the labor market outlook has been realized. We are relying on near-zero short-term interest rates, together with our forward guidance that rates will continue to be exceptionally low--our second tool--to help maintain a high degree of monetary accommodation for an extended period after asset purchases end, even as the economic recovery strengthens and unemployment declines toward more-normal levels. In appropriate combination, these two tools can provide the high level of policy accommodation needed to promote a stronger economic recovery with price stability.

The Committee's decisions regarding the asset purchase program (and the overall stance of monetary policy) depend on our assessment of the economic outlook and of the cumulative progress toward our objectives. Of course, economic forecasts must be revised when new information arrives and are thus necessarily provisional.”

Friedman (1953) argues there are three lags in effects of monetary policy: (1) between the need for action and recognition of the need; (2) the recognition of the need and taking of actions; and (3) taking of action and actual effects. Friedman (1953) finds that the combination of these lags with insufficient knowledge of the current and future behavior of the economy causes discretionary economic policy to increase instability of the economy or standard deviations of real income σ_y and prices σ_p. Policy attempts to circumvent the lags by policy impulses based on forecasts. We are all naïve about forecasting. Data are available with lags and revised to maintain high standards of estimation. Policy simulation models estimate economic relations with structures prevailing before simulations of policy impulses such that parameters change as discovered by Lucas (1977). Economic agents adjust their behavior in ways that cause opposite results from those intended by optimal control policy as discovered by Kydland and Prescott (1977). Advance guidance attempts to circumvent expectations by economic agents that could reverse policy impulses but is of dubious effectiveness. There is strong case for using rules instead of discretionary authorities in monetary policy (http://cmpassocregulationblog.blogspot.com/search?q=rules+versus+authorities).

The key policy is maintaining fed funds rate between 0 and ¼ percent. An increase in fed funds rates could cause flight out of risk financial markets worldwide. There is no exit from this policy without major financial market repercussions. Indefinite financial repression induces carry trades with high leverage, risks and illiquidity. A competing event is the high level of valuations of risk financial assets (http://cmpassocregulationblog.blogspot.com/2013/01/peaking-valuation-of-risk-financial.html). Matt Jarzemsky, writing on “Dow industrials set record,” on Mar 5, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324156204578275560657416332.html), analyzes that the DJIA broke the closing high of 14,164.53 set on Oct 9, 2007, and subsequently also broke the intraday high of 14,198.10 reached on Oct 11, 2007. The DJIA closed at 16,478.41 on Fri Dec 27, 2013, which is higher by 16.3 percent than the value of 14,164.53 reached on Oct 9, 2007 and higher by 16.1 percent than the value of 14,198.10 reached on Oct 11, 2007. Values of risk financial are approaching or exceeding historical highs.

Jon Hilsenrath, writing on “Jobs upturn isn’t enough to satisfy Fed,” on Mar 8, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324582804578348293647760204.html), finds that much stronger labor market conditions are required for the Fed to end quantitative easing. Unconventional monetary policy with zero interest rates and quantitative easing is quite difficult to unwind because of the adverse effects of raising interest rates on valuations of risk financial assets and home prices, including the very own valuation of the securities held outright in the Fed balance sheet. Gradual unwinding of 1 percent fed funds rates from Jun 2003 to Jun 2004 by seventeen consecutive increases of 25 percentage points from Jun 2004 to Jun 2006 to reach 5.25 percent caused default of subprime mortgages and adjustable-rate mortgages linked to the overnight fed funds rate. The zero interest rate has penalized liquidity and increased risks by inducing carry trades from zero interest rates to speculative positions in risk financial assets. There is no exit from zero interest rates without provoking another financial crash.

The carry trade from zero interest rates to leveraged positions in risk financial assets had proved strongest for commodity exposures but US equities have regained leadership. The DJIA has increased 70.1 percent since the trough of the sovereign debt crisis in Europe on Jul 2, 2010 to Dec 27, 2013; S&P 500 has gained 80.1 percent and DAX 69.1 percent. Before the current round of risk aversion, almost all assets in the column “∆% Trough to 12/27/13” had double digit gains relative to the trough around Jul 2, 2010 followed by negative performance but now some valuations of equity indexes show varying behavior. China’s Shanghai Composite is 11.8 percent below the trough. Japan’s Nikkei Average is 83.4 percent above the trough. DJ Asia Pacific TSM is 25.5 percent above the trough. Dow Global is 45.6 percent above the trough. STOXX 50 of 50 blue-chip European equities (http://www.stoxx.com/indices/index_information.html?symbol=sx5E) is 27.1 percent above the trough. NYSE Financial Index is 48.7 percent above the trough. DJ UBS Commodities is 2.9 percent above the trough. DAX index of German equities (http://www.bloomberg.com/quote/DAX:IND) is 69.1 percent above the trough. Japan’s Nikkei Average is 83.4 percent above the trough on Aug 31, 2010 and 42.0 percent above the peak on Apr 5, 2010. The Nikkei Average closed at 16,178.94 on Fri Dec 27, 2013 (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata), which is 57.7 percent higher than 10,254.43 on Mar 11, 2011, on the date of the Tōhoku or Great East Japan Earthquake/tsunami. Global risk aversion erased the earlier gains of the Nikkei. The dollar depreciated by 15.3 percent relative to the euro and even higher before the new bout of sovereign risk issues in Europe. The column “∆% week to 12/27/13” in Table VI-4 shows increase of 0.8 percent in the week for China’s Shanghai Composite. DJ Asia Pacific increased 1.3 percent. NYSE Financial increased 1.3 percent in the week. DJ UBS Commodities changed 0.0 percent. Dow Global increased 1.8 percent in the week of Dec 27, 2013. The DJIA increased 1.6 percent and S&P 500 increased 1.3 percent. DAX of Germany increased 2.0 percent. STOXX 50 increased 2.1 percent. The USD depreciated 0.5 percent. There are still high uncertainties on European sovereign risks and banking soundness, US and world growth slowdown and China’s growth tradeoffs. Sovereign problems in the “periphery” of Europe and fears of slower growth in Asia and the US cause risk aversion with trading caution instead of more aggressive risk exposures. There is a fundamental change in Table VI-4 from the relatively upward trend with oscillations since the sovereign risk event of Apr-Jul 2010. Performance is best assessed in the column “∆% Peak to 12/27/13” that provides the percentage change from the peak in Apr 2010 before the sovereign risk event to Dec 27, 2013. Most risk financial assets had gained not only relative to the trough as shown in column “∆% Trough to 12/27/13” but also relative to the peak in column “∆% Peak to 12/27/13.” There are now several equity indexes above the peak in Table VI-4: DJIA 47.1 percent, S&P 500 51.3 percent, DAX 51.4 percent, Dow Global 18.8 percent, DJ Asia Pacific 9.9 percent, NYSE Financial Index (http://www.nyse.com/about/listed/nykid.shtml) 18.4 percent, Nikkei Average 42.0 percent and STOXX 50 7.7 percent. There is only one equity index below the peak: Shanghai Composite by 33.6 percent. DJ UBS Commodities Index is now 12.0 percent below the peak. The US dollar strengthened 9.1 percent relative to the peak. The factors of risk aversion have adversely affected the performance of risk financial assets. The performance relative to the peak in Apr 2010 is more important than the performance relative to the trough around early Jul 2010 because improvement could signal that conditions have returned to normal levels before European sovereign doubts in Apr 2010. Alexandra Scaggs, writing on “Tepid profits, roaring stocks,” on May 16, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323398204578487460105747412.html), analyzes stabilization of earnings growth: 70 percent of 458 reporting companies in the S&P 500 stock index reported earnings above forecasts but sales fell 0.2 percent relative to forecasts of increase of 0.5 percent. Paul Vigna, writing on “Earnings are a margin story but for how long,” on May 17, 2013, published in the Wall Street Journal (http://blogs.wsj.com/moneybeat/2013/05/17/earnings-are-a-margin-story-but-for-how-long/), analyzes that corporate profits increase with stagnating sales while companies manage costs tightly. More than 90 percent of S&P components reported moderate increase of earnings of 3.7 percent in IQ2013 relative to IQ2012 with decline of sales of 0.2 percent. Earnings and sales have been in declining trend. In IVQ2009, growth of earnings reached 104 percent and sales jumped 13 percent. Net margins reached 8.92 percent in IQ2013, which is almost the same at 8.95 percent in IIIQ2006. Operating margins are 9.58 percent. There is concern by market participants that reversion of margins to the mean could exert pressure on earnings unless there is more accelerated growth of sales. Vigna (op. cit.) finds sales growth limited by weak economic growth. Kate Linebaugh, writing on “Falling revenue dings stocks,” on Oct 20, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10000872396390444592704578066933466076070.html?mod=WSJPRO_hpp_LEFTTopStories), identifies a key financial vulnerability: falling revenues across markets for United States reporting companies. Global economic slowdown is reducing corporate sales and squeezing corporate strategies. Linebaugh quotes data from Thomson Reuters that 100 companies of the S&P 500 index have reported declining revenue only 1 percent higher in Jun-Sep 2012 relative to Jun-Sep 2011 but about 60 percent of the companies are reporting lower sales than expected by analysts with expectation that revenue for the S&P 500 will be lower in Jun-Sep 2012 for the entities represented in the index. Results of US companies are likely repeated worldwide. Future company cash flows derive from investment projects. In IQ1980, gross private domestic investment in the US was $951.6 billion of 2009 dollars, growing to $1,143.0 billion in IVQ1986 or 20.1 percent. Real gross private domestic investment in the US increased 0.8 percent from $2,605.2 billion of 2009 dollars in IVQ2007 to $2,627.2 billion in IIIQ2013. As shown in Table IAI-2, real private fixed investment fell 3.6 percent from $2,586.3 billion of 2009 dollars in IVQ2007 to $2,494.0 billion in IIIQ2013. Growth of real private investment is mediocre for all but four quarters from IIQ2011 to IQ2012 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/11/global-financial-risk-mediocre-united.html). The investment decision of United States corporations has been fractured in the current economic cycle in preference of cash. Corporate profits with IVA and CCA fell $26.6 billion in IQ2013 after increasing $34.9 billion in IVQ2012 and $13.9 billion in IIIQ2012. Corporate profits with IVA and CCA rebounded with $66.8 billion in IIQ2013 and $39.2 billion in IIIQ2013. Profits after tax with IVA and CCA fell $1.7 billion in IQ2013 after increasing $40.8 billion in IVQ2012 and $4.5 billion in IIIQ2012. In IIQ2013, profits after tax with IVA and CCA increased $56.9 billion and $39.5 billion in IIIQ2013. Anticipation of higher taxes in the “fiscal cliff” episode caused increase of $120.9 billion in net dividends in IVQ2012 followed with adjustment in the form of decrease of net dividends by $103.8 billion in IQ2013, rebounding with $273.5 billion in IIQ2013. Net dividends fell at $179.0 billion in IIIQ2013. There is similar decrease of $80.1 billion in undistributed profits with IVA and CCA in IVQ2012 followed by increase of $102.1 billion in IQ2013 and decline of $216.6 billion in IIQ2013. Undistributed profits with IVA and CCA rose at $218.6 billion in IIIQ2013. Undistributed profits of US corporations swelled 382.4 percent from $107.7 billion IQ2007 to $519.5 billion in IIIQ2013 and changed signs from minus $55.9 billion in billion in IVQ2007 (Section IA2). In IQ2013, corporate profits with inventory valuation and capital consumption adjustment fell $26.6 billion relative to IVQ2012, from $2047.2 billion to $2020.6 billion at the quarterly rate of minus 1.3 percent. In IIQ2013, corporate profits with IVA and CCA increased $66.8 billion from $2020.6 billion in IQ2013 to $2087.4 billion at the quarterly rate of 3.3 percent. Corporate profits with IVA and CCA increased $39.2 billion from $2087.4 billion in IIQ2013 to $2126.6 billion in IIIQ2013 at the annual rate of 1.9 percent (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp3q13_3rd.pdf). Uncertainty originating in fiscal, regulatory and monetary policy causes wide swings in expectations and decisions by the private sector with adverse effects on investment, real economic activity and employment. Uncertainty originating in fiscal, regulatory and monetary policy causes wide swings in expectations and decisions by the private sector with adverse effects on investment, real economic activity and employment. The investment decision of US business is fractured. The basic valuation equation that is also used in capital budgeting postulates that the value of stocks or of an investment project is given by:

Where R_τ is expected revenue in the time horizon from τ =1 to T; C_τ denotes costs; and ρ is an appropriate rate of discount. In words, the value today of a stock or investment project is the net revenue, or revenue less costs, in the investment period from τ =1 to T discounted to the present by an appropriate rate of discount. In the current weak economy, revenues have been increasing more slowly than anticipated in investment plans. An increase in interest rates would affect discount rates used in calculations of present value, resulting in frustration of investment decisions. If V represents value of the stock or investment project, as ρ → ∞, meaning that interest rates increase without bound, then V → 0, or

declines. Equally, decline in expected revenue from the stock or project, R_τ, causes decline in valuation. An intriguing issue is the difference in performance of valuations of risk financial assets and economic growth and employment. Paul A. Samuelson (http://www.nobelprize.org/nobel_prizes/economics/laureates/1970/samuelson-bio.html) popularized the view of the elusive relation between stock markets and economic activity in an often-quoted phrase “the stock market has predicted nine of the last five recessions.” In the presence of zero interest rates forever, valuations of risk financial assets are likely to differ from the performance of the overall economy. The interrelations of financial and economic variables prove difficult to analyze and measure.

Table VI-4, Stock Indexes, Commodities, Dollar and 10-Year Treasury  

	Peak	Trough	∆% to Trough	∆% Peak to 12/27/ /13	∆% Week 12/27/13	∆% Trough to 12/27/ 13
DJIA	4/26/ 10	7/2/10	-13.6	47.1	1.6	70.1
S&P 500	4/23/ 10	7/20/ 10	-16.0	51.3	1.3	80.1
NYSE Finance	4/15/ 10	7/2/10	-20.3	18.4	1.3	48.7
Dow Global	4/15/ 10	7/2/10	-18.4	18.8	1.8	45.6
Asia Pacific	4/15/ 10	7/2/10	-12.5	9.9	1.3	25.5
Japan Nikkei Aver.	4/05/ 10	8/31/ 10	-22.5	42.0	1.9	83.4
China Shang.	4/15/ 10	7/02 /10	-24.7	-33.6	0.8	-11.8
STOXX 50	4/15/10	7/2/10	-15.3	7.7	2.1	27.1
DAX	4/26/ 10	5/25/ 10	-10.5	51.4	2.0	69.1
Dollar Euro	11/25 2009	6/7 2010	21.2	9.1	-0.5	-15.3
DJ UBS Comm.	1/6/ 10	7/2/10	-14.5	-12.0	0.0	2.9
10-Year T Note	4/5/ 10	4/6/10	3.986	2.784	3.004

T: trough; Dollar: positive sign appreciation relative to euro (less dollars paid per euro), negative sign depreciation relative to euro (more dollars paid per euro)

Source: http://professional.wsj.com/mdc/page/marketsdata.html?mod=WSJ_hps_marketdata

Appendix: Annotated Chronology of Risk Events. Another rising risk is division within the Federal Open Market Committee (FOMC) on risks and benefits of current policies as expressed in the minutes of the meeting held on Jan 29-30, 2013 (http://www.federalreserve.gov/monetarypolicy/files/fomcminutes20130130.pdf 13):

“However, many participants also expressed some concerns about potential costs and risks arising from further asset purchases. Several participants discussed the possible complications that additional purchases could cause for the eventual withdrawal of policy accommodation, a few mentioned the prospect of inflationary risks, and some noted that further asset purchases could foster market behavior that could undermine financial stability. Several participants noted that a very large portfolio of long-duration assets would, under certain circumstances, expose the Federal Reserve to significant capital losses when these holdings were unwound, but others pointed to offsetting factors and one noted that losses would not impede the effective operation of monetary policy.

Jon Hilsenrath, writing on “Fed maps exit from stimulus,” on May 11, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887324744104578475273101471896.html?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes the development of strategy for unwinding quantitative easing and how it can create uncertainty in financial markets. Jon Hilsenrath and Victoria McGrane, writing on “Fed slip over how long to keep cash spigot open,” published on Feb 20, 2013 in the Wall street Journal (http://professional.wsj.com/article/SB10001424127887323511804578298121033876536.html), analyze the minutes of the Fed, comments by members of the FOMC and data showing increase in holdings of riskier debt by investors, record issuance of junk bonds, mortgage securities and corporate loans.

The week of May 24 was dominated by the testimony of Chairman Bernanke to the Joint Economic Committee of the US Congress on May 22, 2013 (http://www.federalreserve.gov/newsevents/testimony/bernanke20130522a.htm), followed by questions and answers and the release on May 22, 2013 of the minutes of the meeting of the Federal Open Market Committee (FOMC) from Apr 30 to May 1, 2013 (http://www.federalreserve.gov/monetarypolicy/fomcminutes20130501.htm). Monetary policy emphasizes communication of policy intentions to avoid that expectations reverse outcomes in reality (Kydland and Prescott 1977). Jon Hilsenrath, writing on “In bid for clarity, Fed delivers opacity,” on May 23, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323336104578501552642287218.html?KEYWORDS=articles+by+jon+hilsenrath), analyzes discrepancies in communication by the Fed. The annotated chart of values of the Dow Jones Industrial Average (DJIA) during trading on May 23,2013 provided by Hinselrath, links the prepared testimony of Chairman Bernanke at 10:AM, following questions and answers and the release of the minutes of the FOMC at 2PM. Financial markets strengthened between 10 and 10:30AM on May 23, 2013, perhaps because of the statement by Chairman Bernanke in prepared testimony (http://www.federalreserve.gov/newsevents/testimony/bernanke20130522a.htm):

“A premature tightening of monetary policy could lead interest rates to rise temporarily but would also carry a substantial risk of slowing or ending the economic recovery and causing inflation to fall further. Such outcomes tend to be associated with extended periods of lower, not higher, interest rates, as well as poor returns on other assets. Moreover, renewed economic weakness would pose its own risks to financial stability.”

In that testimony, Chairman Bernanke (http://www.federalreserve.gov/newsevents/testimony/bernanke20130522a.htm) also analyzes current weakness of labor markets:

“Despite this improvement, the job market remains weak overall: The unemployment rate is still well above its longer-run normal level, rates of long-term unemployment are historically high, and the labor force participation rate has continued to move down. Moreover, nearly 8 million people are working part time even though they would prefer full-time work. High rates of unemployment and underemployment are extraordinarily costly: Not only do they impose hardships on the affected individuals and their families, they also damage the productive potential of the economy as a whole by eroding workers' skills and--particularly relevant during this commencement season--by preventing many young people from gaining workplace skills and experience in the first place. The loss of output and earnings associated with high unemployment also reduces government revenues and increases spending on income-support programs, thereby leading to larger budget deficits and higher levels of public debt than would otherwise occur.”

Hilsenrath (op. cit. http://online.wsj.com/article/SB10001424127887323336104578501552642287218.html?KEYWORDS=articles+by+jon+hilsenrath) analyzes the subsequent decline of the market from 10:30AM to 10:40AM as Chairman Bernanke responded questions with the statement that withdrawal of stimulus would be determined by data but that it could begin in one of the “next few meetings.” The DJIA recovered part of the losses between 10:40AM and 2PM. The minutes of the FOMC released at 2PM on May 23, 2013, contained a phrase that troubled market participants (http://www.federalreserve.gov/monetarypolicy/fomcminutes20130501.htm): “A number of participants expressed willingness to adjust the flow of purchases downward as early as the June meeting if the economic information received by that time showed evidence of sufficiently strong and sustained growth; however, views differed about what evidence would be necessary and the likelihood of that outcome.” The DJIA closed at 15,387.58 on May 21, 2013 and fell to 15,307.17 at the close on May 22, 2013, with the loss of 0.5 percent occurring after release of the minutes of the FOMC at 2PM when the DJIA stood at around 15,400. The concern about exist of the Fed from stimulus affected markets worldwide as shown in declines of equity indexes in Table III-1 with delays because of differences in trading hours. This behavior shows the trap of unconventional monetary policy with no exit from zero interest rates without risking financial crash and likely adverse repercussions on economic activity.

Jon Hilsenrath, writing on “Jobs upturn isn’t enough to satisfy Fed,” on Mar 8, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324582804578348293647760204.html), finds that much stronger labor market conditions are required for the Fed to end quantitative easing. Unconventional monetary policy with zero interest rates and quantitative easing is quite difficult to unwind because of the adverse effects of raising interest rates on valuations of risk financial assets and home prices, including the very own valuation of the securities held outright in the Fed balance sheet. Gradual unwinding of 1 percent fed funds rates from Jun 2003 to Jun 2004 by seventeen consecutive increases of 25 percentage points from Jun 2004 to Jun 2006 to reach 5.25 percent caused default of subprime mortgages and adjustable-rate mortgages linked to the overnight fed funds rate. The zero interest rate has penalized liquidity and increased risks by inducing carry trades from zero interest rates to speculative positions in risk financial assets. There is no exit from zero interest rates without provoking another financial crash.

Jonathan Cheng, writing on “Stocks add 66 points, post first-quarter record,” published on Mar 30, 2012, in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052702303816504577313123753822852.html?mod=WSJ_Markets_LEFTTopStories&mg=reno64-sec-wsj), finds that the DJIA rose 8.1 percent in IQ2012, which is the highest since 1998, while the S&P 500 gained 12 percent. Paul A. Samuelson remarked that “the stock market has predicted nine of the last five recessions.” Another version of this phrase would be that “the stock market has predicted nine of the last five economic booms.”

It is in this context of economic and financial uncertainties that decisions on portfolio choices of risk financial assets must be made. There is a new carry trade that learned from the losses after the crisis of 2007 or learned from the crisis how to avoid losses. The sharp rise in valuations of risk financial assets shown in Table VI-1 after the first policy round of near zero fed funds and quantitative easing by the equivalent of withdrawing supply with the suspension of the 30-year Treasury auction was on a smooth trend with relatively subdued fluctuations. The credit crisis and global recession have been followed by significant fluctuations originating in sovereign risk issues in Europe, doubts of continuing high growth and accelerating inflation in China now complicated by political developments, events such as in the Middle East and Japan and legislative restructuring, regulation, insufficient growth, falling real wages, depressed hiring and high job stress of unemployment and underemployment in the US now with realization of growth standstill. The “trend is your friend” motto of traders has been replaced with a “hit and realize profit” approach of managing positions to realize profits without sitting on positions. There is a trend of valuation of risk financial assets driven by the carry trade from zero interest rates with fluctuations provoked by events of risk aversion or the “sharp shifts in risk appetite” of Blanchard (2012WEOApr, XIII). Table VI-4, which is updated for every comment of this blog, shows the deep contraction of valuations of risk financial assets after the Apr 2010 sovereign risk issues in the fourth column “∆% to Trough.” There was sharp recovery after around Jul 2010 in the last column “∆% Trough to 6/21/13,” which has been recently stalling or reversing amidst bouts of risk aversion. “Let’s twist again” monetary policy during the week of Sep 23 caused deep worldwide risk aversion and selloff of risk financial assets (http://cmpassocregulationblog.blogspot.com/2011/09/imf-view-of-world-economy-and-finance.html http://cmpassocregulationblog.blogspot.com/2011/09/collapse-of-household-income-and-wealth.html). Monetary policy was designed to increase risk appetite but instead suffocated risk exposures. There has been rollercoaster fluctuation in risk aversion and financial risk asset valuations: surge in the week of Dec 2, 2011, mixed performance of markets in the week of Dec 9, renewed risk aversion in the week of Dec 16, end-of-the-year relaxed risk aversion in thin markets in the weeks of Dec 23 and Dec 30, mixed sentiment in the weeks of Jan 6 and Jan 13 2012 and strength in the weeks of Jan 20, Jan 27 and Feb 3 followed by weakness in the week of Feb 10 but strength in the weeks of Feb 17 and 24 followed by uncertainty on financial counterparty risk in the weeks of Mar 2 and Mar 9. All financial values have fluctuated with events such as the surge in the week of Mar 16 on favorable news of Greece’s bailout even with new risk issues arising in the week of Mar 23 but renewed risk appetite in the week of Mar 30 because of the end of the quarter and the increase in the firewall of support of sovereign debts in the euro area. New risks developed in the week of Apr 6 with increase of yields of sovereign bonds of Spain and Italy, doubts on Fed policy and weak employment report. Asia and financial entities are experiencing their own risk environments. Financial markets were under stress in the week of Apr 13 because of the large exposure of Spanish banks to lending by the European Central Bank and the annual equivalent growth rate of China’s GDP of 7.4 percent in IQ2012 [(1.018)⁴], which was repeated in IIQ2012. There was strength again in the week of Apr 20 because of the enhanced IMF firewall and Spain placement of debt, continuing into the week of Apr 27. Risk aversion returned in the week of May 4 because of the expectation of elections in Europe and the new trend of deterioration of job creation in the US. Europe’s sovereign debt crisis and the fractured US job market continued to influence risk aversion in the week of May 11. Politics in Greece and banking issues in Spain were important factors of sharper risk aversion in the week of May 18. Risk aversion continued during the week of May 25 and exploded in the week of Jun 1. Expectations of stimulus by central banks caused valuation of risk financial assets in the week of Jun 8 and in the week of Jun 15. Expectations of major stimulus were frustrated by minor continuance of maturity extension policy in the week of Jun 22 together with doubts on the silent bank run in highly indebted euro area member countries. There was a major rally of valuations of risk financial assets in the week of Jun 29 with the announcement of new measures on bank resolutions by the European Council. New doubts surfaced in the week of Jul 6, 2012 on the implementation of the bank resolution mechanism and on the outlook for the world economy because of interest rate reductions by the European Central, Bank of England and People’s Bank of China. Risk appetite returned in the week of July 13 in relief that economic data suggests continuing high growth in China but fiscal and banking uncertainties in Spain spread to Italy in the selloff of July 20, 2012. Mario Draghi (2012Jul26), president of the European Central Bank, stated: “But there is another message I want to tell you.

Within our mandate, the ECB is ready to do whatever it takes to preserve the euro. And believe me, it will be enough.” This statement caused return of risk appetite, driving upward valuations of risk financial assets worldwide. Buiter (2011Oct31) analyzes that the European Financial Stability Fund (EFSF) would need a “bigger bazooka” to bail out euro members in difficulties that could possibly be provided by the ECB. The dimensions of the problem may require more firepower than a bazooka perhaps that of the largest conventional bomb of all times of 44,000 pounds experimentally detonated only once by the US in 1948 (http://www.airpower.au.af.mil/airchronicles/aureview/1967/mar-apr/coker.html). Buiter (2012Oct15) finds that resolution of the euro crisis requires full banking union together with restructuring the sovereign debt of at least four and possibly total seven European countries. Risk appetite continued in the week of Aug 3, 2012, in expectation of purchases of sovereign bonds by the ECB. Growth of China’s exports by 1.0 percent in the 12 months ending in Jul 2012 released in the week of Aug 10, 2012, together with doubts on the purchases of bonds by the ECB injected a mild dose of risk aversion. There was optimism on the resolution of the European debt crisis on Aug 17, 2012. The week of Aug 24, 2012 had alternating shocks of risk aversion and risk appetite from the uncertainties of success of the Greek adjustment program, the coming decision of the Federal Constitutional Court of Germany on the European Stability Mechanism, disagreements between the Deutsche Bundesbank and the European Central Bank on purchase of sovereign bonds of highly indebted euro area member countries and the exchange of letters between Darrell E. Issa (2012Aug1), Chairman of the House Committee on Oversight and Government Reform, and Chairman Bernanke (2012Aug22) on monetary policy. Bernanke (2012JHAug31) and Draghi (2012Aug29) generated risk enthusiasm in the week of Aug 31, 2012. Risk appetite returned in the week of Sep 7, 2012, with the announcement of the bond-buying program of OMT (Outright Monetary Transactions) on Sep 6, 2012, by the European Central Bank (http://www.ecb.int/press/pr/date/2012/html/pr120906_1.en.html). Valuations of risk financial assets increased sharply after the statement of the FOMC on Sep 13, 2012 with open-ended quantitative easing and self-imposed single-mandate of jobs that would maintain easing monetary policy well after the economy returns to full potential. Risk aversion returned in the week of Sep 21, 2012 on doubts about the success of quantitative easing and weakness in flash purchasing managers’ indices. Risk aversion returned in the week of Sep 28, 2012, because of uncertainty on the consequences of a bailout of Spain and weakness of central banks in controlling financial turbulence but was followed by risk appetite in the week of Oct 5, aversion in the week of Oct 12 and mixed views in the week of Oct 19. Revenue declines for reporting companies caused decline of stocks in the week of Oct 26. Continuing risk aversion originates in the week of Nov 9 from the unresolved European debt crisis, world economic slowdown and low growth with fiscal challenges in the United States. Risk aversion continued in the week of Nov 16 with the unresolved European debt crisis, world economic slowdown and the unsustainable deficit/debt of the US threatening prosperity. Risk appetite returned in the Thanksgiving week with expectations of a deal for avoiding expenditure reductions and tax increases in the US in 2013. Risks doubts returned in some markets in the week of Nov 30 with impasse in fiscal negotiations in the US and sovereign debt doubts in Europe. Increase in China’s purchasing managers’ indexes stimulated markets that did not react adversely to downgrades of growth by the Deutsche Bundesbank and the European Central Bank in the week of Dec 7, 2012. The flash HSBC manufacturing PMI index showing the highest reading in 14 months also supported Chinese stocks. Unsustainable deficit/debt in the United States is dominating financial/economic risk perceptions in the weeks of Dec 21 and 28, 2012. Equity markets soared in the week of Jan 4, 2013 with H.R. 8 American Taxpayer Relief Act of 2012 (http://www.gpo.gov/fdsys/pkg/BILLS-112hr8eas/pdf/BILLS-112hr8eas.pdf). Market rallied in the week of Jan 18, 2012, on the expectation of a deal to circumvent the debt limit of the United States, which hides the unresolved unsustainable Federal deficit/debt. The highest valuations in column “∆% Trough to 6/14/13” of Table VI-4 are by US equities indexes: DJIA 55.6 percent and S&P 500 59.3 percent, driven by stronger earnings and economy in the US than in other advanced economies but with doubts on the relation of business revenue to the weakening economy and fractured job market. DAX of Germany is now 43.3 percent above the trough. The overwhelming risk factor is the unsustainable Treasury deficit/debt of the United States (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). Another rising risk is division within the Federal Open Market Committee (FOMC) on risks and benefits of current policies as expressed in the minutes of the meeting held on Jan 29-30, 2013 (http://www.federalreserve.gov/monetarypolicy/files/fomcminutes20130130.pdf 13):

“However, many participants also expressed some concerns about potential costs and risks arising from further asset purchases. Several participants discussed the possible complications that additional purchases could cause for the eventual withdrawal of policy accommodation, a few mentioned the prospect of inflationary risks, and some noted that further asset purchases could foster market behavior that could undermine financial stability. Several participants noted that a very large portfolio of long-duration assets would, under certain circumstances, expose the Federal Reserve to significant capital losses when these holdings were unwound, but others pointed to offsetting factors and one noted that losses would not impede the effective operation of monetary policy.

Jon Hilsenrath, writing on “Fed maps exit from stimulus,” on May 11, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887324744104578475273101471896.html?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes the development of strategy for unwinding quantitative easing and how it can create uncertainty in financial markets. Jon Hilsenrath and Victoria McGrane, writing on “Fed slip over how long to keep cash spigot open,” published on Feb 20, 2013 in the Wall street Journal (http://professional.wsj.com/article/SB10001424127887323511804578298121033876536.html), analyze the minutes of the Fed, comments by members of the FOMC and data showing increase in holdings of riskier debt by investors, record issuance of junk bonds, mortgage securities and corporate loans.

Bernanke (2010WP) and Yellen (2011AS) reveal the emphasis of monetary policy on the impact of the rise of stock market valuations in stimulating consumption by wealth effects on household confidence. Table VI-5 shows a gain by Apr 29, 2011 in the DJIA of 14.3 percent and of the S&P 500 of 12.5 percent since Apr 26, 2010, around the time when sovereign risk issues in Europe began to be acknowledged in financial risk asset valuations. The last row of Table VI-5 for Dec 27, 2013, shows that the S&P 500 is now 51.9 percent above the Apr 26, 2010 level and the DJIA is 47.1 percent above the level on Apr 26, 2010. Multiple rounds of risk aversion eroded earlier gains, showing that risk aversion can destroy market value even with zero interest rates. Relaxed risk aversion has contributed to recovery of valuations. Much the same as zero interest rates and quantitative easing have not had any effects in recovering economic activity while distorting financial markets and resource allocation.

Table VI-5, Percentage Changes of DJIA and S&P 500 in Selected Dates

	∆% DJIA from  prior date	∆% DJIA from Apr 26 2010	∆% S&P 500 from prior date	∆% S&P 500 from Apr 26 2010
Apr 26 2010
May 6/10	-6.1	-6.1	-6.9	-6.9
May 26/10	-5.2	-10.9	-5.4	-11.9
Jun 8/10	-1.2	-11.3	2.1	-12.4
Jul 2/10	-2.6	-13.6	-3.8	-15.7
Aug 9/10	10.5	-4.3	10.3	-7.0
Aug 31/10	-6.4	-10.6	-6.9	-13.4
Nov 5/10	14.2	2.1	16.8	1.0
Nov 30/10	-3.8	-3.8	-3.7	-2.6
Dec 17/10	4.4	2.5	5.3	2.6
Dec 23/10	0.7	3.3	1.0	3.7
Dec 31/10	0.03	3.3	0.07	3.8
Jan 7  2011	0.8	4.2	1.1	4.9
Jan 14/11	0.9	5.2	1.7	6.7
Jan 21/11	0.7	5.9	-0.8	5.9
Jan 28/11	-0.4	5.5	-0.5	5.3
Feb 4/11	2.3	7.9	2.7	8.1
Feb 11/11	1.5	9.5	1.4	9.7
Feb 18/11	0.9	10.6	1.0	10.8
Feb 25/11	-2.1	8.3	-1.7	8.9
Mar 4/11	0.3	8.6	0.1	9.0
Mar 11/11	-1.0	7.5	-1.3	7.6
Mar 18/11	-1.5	5.8	-1.9	5.5
Mar 25/11	3.1	9.1	2.7	8.4
Apr 1/11	1.3	10.5	1.4	9.9
Apr 8/11	0.03	10.5	-0.3	9.6
Apr 15/11	-0.3	10.1	-0.6	8.9
Apr 22/11	1.3	11.6	1.3	10.3
Apr 29/11	2.4	14.3	1.9	12.5
May 6/11	-1.3	12.8	-1.7	10.6
May 13/11	-0.3	12.4	-0.2	10.4
May 20/11	-0.7	11.7	-0.3	10.0
May 27/11	-0.6	11.0	-0.2	9.8
Jun 3/11	-2.3	8.4	-2.3	7.3
Jun 10/11	-1.6	6.7	-2.2	4.9
Jun 17/11	0.4	7.1	0.04	4.9
Jun 24/11	-0.6	6.5	-0.2	4.6
Jul 1/11	5.4	12.3	5.6	10.5
Jul 8/11	0.6	12.9	0.3	10.9
Jul 15/11	-1.4	11.4	-2.1	8.6
Jul 22/11	1.6	13.2	2.2	10.9
Jul 29/11	-4.2	8.4	-3.9	6.6
Aug 05/11	-5.8	2.1	-7.2	-1.0
Aug 12/11	-1.5	0.6	-1.7	-2.7
Aug 19/11	-4.0	-3.5	-4.7	-7.3
Aug 26/11	4.3	0.7	4.7	-2.9
Sep 02	-0.4	0.3	-0.2	-3.1
Sep 09/11	-2.2	-1.9	-1.7	-4.8
Sep 16/11	4.7	2.7	5.4	0.3
Sep 23/11	-6.4	-3.9	-6.5	-6.2
Sep 30/11	1.3	-2.6	-0.4	-6.7
Oct 7/11	1.7	-0.9	2.1	-4.7
Oct 14/11	4.9	3.9	5.9	1.0
Oct 21/11	1.4	5.4	1.1	2.2
Oct 28/11	3.6	9.2	3.8	6.0
Nov 04/11	-2.0	6.9	-2.5	3.4
Nov 11/11	1.4	8.5	0.8	4.3
Nov 18/11	-2.9	5.3	-3.8	0.3
Nov 25/11	-4.8	0.2	-4.7	-4.4
Dec 02/11	7.0	7.3	7.4	2.7
Dec 09/11	1.4	8.7	0.9	3.6
Dec 16/11	-2.6	5.9	-2.8	0.6
Dec 23/11	3.6	9.7	3.7	4.4
Dec 30/11	-0.6	9.0	-0.6	3.8
Jan 6 2012	1.2	10.3	1.6	5.4
Jan 13/12	0.5	10.9	0.9	6.4
Jan 20/12	2.4	13.5	2.0	8.5
Jan 27/12	-0.5	13.0	0.1	8.6
Feb 3/12	1.6	14.8	2.2	11.0
Feb 10/12	-0.5	14.2	-0.2	10.8
Feb 17/12	1.2	15.6	1.4	12.3
Feb 24/12	0.3	15.9	0.3	12.7
Mar 2/12	0.0	15.8	0.3	13.0
Mar 9/12	-0.4	15.3	0.1	13.1
Mar 16/12	2.4	18.1	2.4	15.9
Mar 23/12	-1.1	16.7	-0.5	15.3
Mar 30/12	1.0	17.9	0.8	16.2
Apr 6/12	-1.1	16.6	-0.7	15.3
Apr 13/12	-1.6	14.7	-2.0	13.1
Apr 20/12	1.4	16.3	0.6	13.7
Apr 27/12	1.5	18.1	1.8	15.8
May 4/12	-1.4	16.4	-2.3	12.9
May 11/12	-1.7	14.4	-1.1	11.7
May 18/12	-3.5	10.4	-4.3	6.4
May 25/12	0.7	11.2	1.7	8.7
Jun 1/12	-2.7	8.2	-3.0	5.4
Jun 8/12	3.6	12.0	3.7	9.4
Jun 15/12	1.7	13.9	1.3	10.8
Jun 22/12	-1.0	12.8	-0.6	10.1
Jun 29/12	1.9	14.9	2.0	12.4
Jul 6/12	-0.8	14.0	-0.5	11.8
Jul 13/12	0.0	14.0	0.2	11.9
Jul 20/12	0.4	14.4	0.4	12.4
Jul 27/12	2.0	16.7	1.7	14.3
Aug 3/12	0.2	16.9	0.4	14.8
Aug 10/12	0.9	17.9	1.1	16.0
Aug 17/12	0.5	18.5	0.9	17.0
Aug 24/12	-0.9	17.4	-0.5	16.4
Aug 31/12	-0.5	16.8	-0.3	16.0
Sep 7/12	1.6	18.8	2.2	18.6
Sep 14/12	2.2	21.3	1.90	20.9
Sep 21/12	-0.1	21.2	-0.4	20.5
Sep 28/12	-1.0	19.9	-1.3	18.9
Oct 5/12	1.3	21.5	1.4	20.5
Oct 12/12	-2.1	18.9	-2.2	17.9
Oct 19/12	0.1	19.1	0.3	18.3
Oct 26/12	-1.8	17.0	-1.5	16.5
Nov 2/12	-0.1	16.9	0.2	16.7
Nov 9/12	-2.1	14.4	-2.4	13.8
Nov 16/12	-1.8	12.3	-1.4	12.2
Nov 23/12	3.3	16.1	3.6	16.3
Nov 30/12	0.1	16.2	0.5	16.8
Dec 7/12	1.0	17.4	0.1	17.0
Dec 14/12	-0.2	17.2	-0.3	16.6
Dec 21/12	0.4	17.7	1.2	18.0
Dec 28/12	-1.9	15.5	-1.9	15.7
Jan 4 2013	3.8	19.9	4.6	21.0
Jan 11/13	0.4	20.4	0.4	21.5
Jan 18/13	1.2	21.8	0.9	22.6
Jan 25/13	1.8	24.0	1.1	24.0
Feb 1/13	0.8	25.0	0.7	24.8
Feb 8/13	-0.1	24.9	0.3	25.2
Feb 15/13	-0.1	24.8	0.1	25.4
Feb 22/13	0.1	24.9	-0.3	25.0
Mar 1/13	0.6	25.7	0.2	25.3
Mar 8/13	2.2	28.5	2.2	28.0
Mar 15/13	0.8	29.5	0.6	28.8
Mar 22/13	0.0	29.5	-0.2	28.5
Mar 29/13	0.5	30.1	0.8	29.5
Apr 5/13	-0.1	30.0	-1.0	28.2
Apr 12/13	2.1	32.7	2.3	31.1
Apr 19/13	-2.1	29.8	-2.1	28.3
Aug 26/13	1.1	31.3	1.7	30.5
May 3/13	1.8	33.6	2.0	33.2
May 10/13	1.0	34.9	1.2	34.8
May 17/13	1.6	37.0	2.1	37.6
May 24/13	-0.3	36.6	-1.1	36.1
May 31/13	-1.2	34.9	-1.1	34.5
Jun 7/13	0.9	36.1	0.8	35.6
Jun 14/13	-1.2	34.5	-0.9	34.4
Jun 21/13	-1.8	32.1	-2.2	31.4
Jun 28/13	0.7	33.1	0.9	32.5
Jul 5/13	1.5	35.1	1.6	34.6
Jul 12/13	2.2	38.0	3.0	38.6
Jul 19/13	0.5	38.7	0.7	39.6
Jul 26/13	0.1	38.9	0.0	39.6
Aug 2/13	0.6	39.7	1.1	41.1
Aug 9/13	-1.5	37.7	-1.1	39.6
Aug 16/13	-2.2	34.6	-2.1	36.6
Aug 23/13	-0.5	34.0	0.5	37.2
Aug 30/13	-1.3	32.2	-1.8	34.7
Sep 6/13	0.8	33.2	1.4	36.6
Sep 13/13	3.0	37.2	2.0	39.3
Sep 20/13	0.5	37.9	1.3	41.1
Sep 27/13	-1.2	36.2	-1.1	39.6
Oct 4/13	-1.2	34.5	-0.1	39.5
Oct 11/13	1.1	36.0	0.8	40.5
Oct 18/13	1.1	37.4	2.4	43.9
Oct 25/13	1.1	39.0	0.9	45.2
Nov 1/13	0.3	39.4	0.1	45.3
Nov 8/13	0.9	40.7	0.5	46.1
Nov 15/13	1.3	42.5	1.6	48.4
Nov 22/13	0.6	43.4	0.4	48.9
Nov 29/13	0.1	43.6	0.1	49.0
Dec 6/13	-0.4	43.0	0.0	48.9
Dec 13/13	-1.7	40.6	-1.6	46.5
Dec 20/13	3.0	44.8	2.4	50.0
Dec 27/13	1.6	47.1	1.3	51.9

Source: http://professional.wsj.com/mdc/public/page/mdc_us_stocks.html?mod=mdc_topnav_2_3014

The Communiqué of Meeting of G20 Finance Ministers and Central Bank Governors in Moscow on February 16, 2013, available at the University of Toronto G20 Information Center (http://www.g8.utoronto.ca/g20/2013/2013-0216-finance.html), appears to rule out currency wars:

“Global Economy and G20 Framework for Strong, Sustainable and Balanced Growth

2. Thanks to the important policy actions in Europe, the US, Japan, and the resilience of the Chinese economy, tail risks to the global economy have receded and financial market conditions have improved. However, we recognize that important risks remain and global growth is still too weak, with unemployment remaining unacceptably high in many countries. We agree that the weak global performance derives from policy uncertainty, private deleveraging, fiscal drag, and impaired credit intermediation, as well as incomplete rebalancing of global demand. Under these circumstances, a sustained effort is required to continue building a stronger economic and monetary union in the euro area and to resolve uncertainties related to the fiscal situation in the United States and Japan, as well as to boost domestic sources of growth in surplus economies, taking into account special circumstances of large commodity producers.

3. To address the weakness of the global economy, ambitious reforms and coordinated policies are key to achieving strong, sustainable and balanced growth and restoring confidence. We will continue to implement our previous commitments, including on the financial reform agenda to build a more resilient financial system and on ambitious structural reforms to lift growth. We are committed to ensuring sustainable public finances. Advanced economies will develop credible medium-term fiscal strategies in line with the commitments made by our Leaders in Los Cabos by the St Petersburg Summit. Credible medium-term fiscal consolidation plans will be put in place, and implemented taking into account near-term economic conditions and fiscal space where available. We support action to improve the flow of credit to the economy, where necessary. Monetary policy should be directed toward domestic price stability and continuing to support economic recovery according to the respective mandates. We commit to monitor and minimize the negative spillovers on other countries of policies implemented for domestic purposes. We look forward to the results of the ongoing work on spillovers in the Framework Working Group.

4. We have adopted an assessment process on the implementation of our structural reform commitments, which will inform the direction of our future structural policies.

5. We reaffirm our commitment to cooperate for achieving a lasting reduction in global imbalances, and pursue structural reforms affecting domestic savings and improving productivity. We reiterate our commitments to move more rapidly toward more market-determined exchange rate systems and exchange rate flexibility to reflect underlying fundamentals, and avoid persistent exchange rate misalignments and in this regard, work more closely with one another so we can grow together. We reiterate that excess volatility of financial flows and disorderly movements in exchange rates have adverse implications for economic and financial stability. We will refrain from competitive devaluation. We will not target our exchange rates for competitive purposes, will resist all forms of protectionism and keep our markets open.”

The final phrases rule out “competitive devaluation” and the use of “exchange rates for competitive purposes.” What is seriously absent in this statement of intentions is monetary policy, which is precisely the mechanism by which competitive devaluations are currently implemented.

In the restatement of the liquidity trap and large-scale policies of monetary/fiscal stimulus, Krugman (1998, 162) finds:

“In the traditional open economy IS-LM model developed by Robert Mundell [1963] and Marcus Fleming [1962], and also in large-scale econometric models, monetary expansion unambiguously leads to currency depreciation. But there are two offsetting effects on the current account balance. On one side, the currency depreciation tends to increase net exports; on the other side, the expansion of the domestic economy tends to increase imports. For what it is worth, policy experiments on such models seem to suggest that these effects very nearly cancel each other out.

Krugman (1998) uses a different dynamic model with expectations that leads to similar conclusions.

The central bank could also be pursuing competitive devaluation of the national currency in the belief that it could increase inflation to a higher level and promote domestic growth and employment at the expense of growth and unemployment in the rest of the world. An essay by Chairman Bernanke in 1999 on Japanese monetary policy received attention in the press, stating that (Bernanke 2000, 165):

“Roosevelt’s specific policy actions were, I think, less important than his willingness to be aggressive and experiment—in short, to do whatever it took to get the country moving again. Many of his policies did not work as intended, but in the end FDR deserves great credit for having the courage to abandon failed paradigms and to do what needed to be done”

Quantitative easing has never been proposed by Chairman Bernanke or other economists as certain science without adverse effects. What has not been mentioned in the press is another suggestion to the Bank of Japan (BOJ) by Chairman Bernanke in the same essay that is very relevant to current events and the contentious issue of ongoing devaluation wars (Bernanke 2000, 161):

“The BOJ could probably undertake yen depreciation unilaterally; because the BOJ has a legal mandate to pursue price stability, it certainly could make a good argument that, with interest rates at zero, depreciation of the yen is the best available tool for achieving its mandated objective. Defenders of inaction on the yen claim that a large yen depreciation would therefore create serious international tensions. Whatever validity this political argument may have had at various times, it is of no relevance at the moment, for Japan has recently been urged by its most powerful allies and trading partners to weaken the yen—and refused! Moreover, the economic validity of the beggar-thy-neighbor thesis is doubtful, as depreciation creates trade—by raising home-country income—as well as diverting it. Perhaps not all those who cite the beggar-thy-neighbor thesis are aware that it had its origins in the Great Depression, when it was used as an argument against the very devaluations that ultimately proved crucial to world economic recovery. A yen trading at 100 to the dollar or less is in no one’s interest.”

Chairman Bernanke is referring to the argument by Joan Robinson based on the experience of the Great Depression that: “in times of general unemployment a game of beggar-my-neighbour is played between the nations, each one endeavouring to throw a larger share of the burden upon the others” (Robinson 1947, 156). Devaluation is one of the tools used in these policies (Robinson 1947, 157). Banking crises dominated the experience of the United States, but countries that recovered were those devaluing early such that competitive devaluations rescued many countries from a recession as strong as that in the US (see references to Ehsan Choudhri, Levis Kochin and Barry Eichengreen in Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 205-9; for the case of Brazil that devalued early in the Great Depression recovering with an increasing trade balance see Pelaez, 1968, 1968b, 1972; Brazil devalued and abandoned the gold standard during crises in the historical period as shown by Pelaez 1976, Pelaez and Suzigan 1981). Beggar-my-neighbor policies did work for individual countries but the criticism of Joan Robinson was that it was not optimal for the world as a whole.

Is depreciation of the dollar the best available tool currently for achieving the dual mandate of higher inflation and lower unemployment? Bernanke (2002) finds dollar devaluation against gold to have been important in preventing further deflation in the 1930s (http://www.federalreserve.gov/boarddocs/speeches/2002/20021121/default.htm):

“Although a policy of intervening to affect the exchange value of the dollar is nowhere on the horizon today, it's worth noting that there have been times when exchange rate policy has been an effective weapon against deflation. A striking example from U.S. history is Franklin Roosevelt's 40 percent devaluation of the dollar against gold in 1933-34, enforced by a program of gold purchases and domestic money creation. The devaluation and the rapid increase in money supply it permitted ended the U.S. deflation remarkably quickly. Indeed, consumer price inflation in the United States, year on year, went from -10.3 percent in 1932 to -5.1 percent in 1933 to 3.4 percent in 1934. The economy grew strongly, and by the way, 1934 was one of the best years of the century for the stock market. If nothing else, the episode illustrates that monetary actions can have powerful effects on the economy, even when the nominal interest rate is at or near zero, as was the case at the time of Roosevelt's devaluation.”

Should the US devalue following Roosevelt? Alternatively, has monetary policy intended devaluation? Fed policy is seeking, deliberately or as a side effect, what Irving Fisher proposed “that great depressions are curable and preventable through reflation and stabilization” (Fisher, 1933, 350). The Fed has created not only high volatility of assets but also what many countries are regarding as a competitive devaluation similar to those criticized by Nurkse (1944). Yellen (2011AS, 6) admits that Fed monetary policy results in dollar devaluation with the objective of increasing net exports, which was the policy that Joan Robinson (1947) labeled as “beggar-my-neighbor” remedies for unemployment. There is increasing unrest within the G20 and worldwide about the appreciation of exchange rates of most countries while the dollar devalues. Global coordination of policies with free riders in an institution of diverse interests such as the G20 is unlikely. Distortions of financial markets in the US and worldwide depend only on more sober evaluation of risks of unconventional policies at a body without free riders, such as the Federal Open Market Committee (FOMC).

Chairman Bernanke (2013Mar 25) reinterprets devaluation and recovery from the Great Depression:

“The uncoordinated abandonment of the gold standard in the early 1930s gave rise to the idea of "beggar-thy-neighbor" policies. According to this analysis, as put forth by important contemporary economists like Joan Robinson, exchange rate depreciations helped the economy whose currency had weakened by making the country more competitive internationally. Indeed, the decline in the value of the pound after 1931 was associated with a relatively early recovery from the Depression by the United Kingdom, in part because of some rebound in exports. However, according to this view, the gains to the depreciating country were equaled or exceeded by the losses to its trading partners, which became less internationally competitive--hence, ‘beggar thy neighbor.’ Economists still agree that Smoot-Hawley and the ensuing tariff wars were highly counterproductive and contributed to the depth and length of the global Depression. However, modern research on the Depression, beginning with the seminal 1985 paper by Barry Eichengreen and Jeffrey Sachs, has changed our view of the effects of the abandonment of the gold standard. Although it is true that leaving the gold standard and the resulting currency depreciation conferred a temporary competitive advantage in some cases, modern research shows that the primary benefit of leaving gold was that it freed countries to use appropriately expansionary monetary policies. By 1935 or 1936, when essentially all major countries had left the gold standard and exchange rates were market-determined, the net trade effects of the changes in currency values were certainly small. Yet the global economy as a whole was much stronger than it had been in 1931. The reason was that, in shedding the strait jacket of the gold standard, each country became free to use monetary policy in a way that was more commensurate with achieving full employment at home.”

Nurkse (1944) raised concern on the contraction of trade by competitive devaluations during the 1930s. Haberler (1937) dwelled on the issue of flexible exchange rates. Bordo and James (2001) provide perceptive exegesis of the views of Haberler (1937) and Nurkse (1944) together with the evolution of thought by Haberler. Policy coordination among sovereigns may be quite difficult in practice even if there were sufficient knowledge and sound forecasts. Friedman (1953) provided strong case in favor of a system of flexible exchange rates.

Eichengreen and Sachs (1985) argue theoretically with measurements using a two-sector model that it is possible for series of devaluations to improve the welfare of all countries. There were adverse effects of depreciation on other countries but depreciation by many countries could be beneficial for all. The important counterfactual is if depreciations by many countries would have promoted faster recovery from the Great Depression. Depreciation in the model of Eichengreen and Sachs (1985) affected domestic and foreign economies through real wages, profitability, international competitiveness and world interest rates. Depreciation causes increase in the money supply that lowers world interest rates, promoting growth of world output. Lower world interest rates could compensate contraction of output from the shift of demand away from home goods originating in neighbor’s exchange depreciation. Eichengreen and Sachs (1985, 946) conclude:

“This much, however, is clear. We do not present a blanket endorsement of the competitive devaluations of the 1930s. Though it is indisputable that currency depreciation conferred macroeconomic benefits on the initiating country, because of accompanying policies the depreciations of the 1930s had beggar-thy-neighbor effects. Though it is likely that currency depreciation (had it been even more widely adopted) would have worked to the benefit of the world as a whole, the sporadic and uncoordinated approach taken to exchange-rate policy in the 1930s tended, other things being equal, to reduce the magnitude of the benefits.”

There could major difference in the current world economy. The initiating impulse for depreciation originates in zero interest rates on the fed funds rate. The dollar is the world’s reserve currency. Risk aversion intermittently channels capital flight to the safe haven of the dollar and US Treasury securities. In the absence of risk aversion, zero interest rates induce carry trades of short positions in dollars and US debt (borrowing) together with long leveraged exposures in risk financial assets such as stocks, emerging stocks, commodities and high-yield bonds. Without risk aversion, the dollar depreciates against every currency in the world. The dollar depreciated against the euro by 39.3 percent from USD 1.1423/EUR con Jun 26, 2003 to USD 1.5914/EUR on Jun 14, 2008 during unconventional monetary policy before the global recession (Table VI-1). Unconventional monetary policy causes devaluation of the dollar relative to other currencies, which can increases net exports of the US that increase aggregate economic activity (Yellen 2011AS). The country issuing the world’s reserve currency appropriates the advantage from initiating devaluation that in policy intends to generate net exports that increase domestic output.

Pelaez and Pelaez (Regulation of Banks and Finance (2009b), 208-209) summarize the experience of Brazil as follows:

“During 1927–9, Brazil accumulated ￡30 million of foreign exchange of which ￡20 million were deposited at its stabilization fund (Pelaez 1968, 43–4). After the decline in coffee prices and the first impact of the Great Depression in Brazil a hot money movement wiped out foreign exchange reserves. In addition, capital inflows stopped entirely. The deterioration of the terms of trade further complicated matters, as the value of exports in foreign currency declined abruptly. Because of this exchange crisis, the service of the foreign debt of Brazil became impossible. In August 1931, the federal government was forced to cancel the payment of principal on certain foreign loans. The balance of trade in 1931 was expected to yield ￡20 million whereas the service of the foreign debt alone amounted to ￡22.6 million. Part of the solution given to these problems was typical of the 1930s. In September 1931, the government of Brazil required that all foreign transactions were to be conducted through the Bank of Brazil. This monopoly of foreign exchange was exercised by the Bank of Brazil for the following three years. Export permits were granted only after the exchange derived from sales abroad was officially sold to the Bank, which in turn allocated it in accordance with the needs of the economy. An active black market in foreign exchange developed. Brazil was in the first group of countries that abandoned early the gold standard, in 1931, and suffered comparatively less from the Great Depression. The Brazilian federal government, advised by the BOE, increased taxes and reduced expenditures in 1931 to compensate a decline in custom receipts (Pelaez 1968, 40). Expenditures caused by a revolution in 1932 in the state of Sao Paulo and a drought in the northeast explain the deficit. During 1932–6, the federal government engaged in strong efforts to stabilize the budget. Apart from the deliberate efforts to balance the budget during the 1930s, the recovery in economic activity itself may have induced a large part of the reduction of the deficit (Ibid, 41). Brazil’s experience is similar to that of the United States in that fiscal policy did not promote recovery from the Great Depression.”

In remarkable anticipation in 2005, Professor Raghuram G. Rajan (2005) warned of low liquidity and high risks of central bank policy rates approaching the zero bound (Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 218-9). Professor Rajan excelled in a distinguished career as an academic economist in finance and was chief economist of the International Monetary Fund (IMF). Shefali Anand and Jon Hilsenrath, writing on Oct 13, 2013, on “India’s central banker lobbies Fed,” published in the Wall Street Journal (http://online.wsj.com/news/articles/SB10001424052702304330904579133530766149484?KEYWORDS=Rajan), interviewed Raghuram G. Rajan, who is the current Governor of the Reserve Bank of India, which is India’s central bank (http://www.rbi.org.in/scripts/AboutusDisplay.aspx). In this interview, Rajan argues that central banks should avoid unintended consequences on emerging market economies of inflows and outflows of capital triggered by monetary policy. Portfolio reallocations induced by combination of zero interest rates and risk events stimulate carry trades that generate wide swings in world capital flows.

Table VI-6, updated with every blog comment, shows that exchange rate valuations affect a large variety of countries, in fact, almost the entire world, in magnitudes that cause major problems for domestic monetary policy and trade flows. Dollar devaluation is expected to continue because of zero fed funds rate, expectations of rising inflation, large budget deficit of the federal government (http://professional.wsj.com/article/SB10001424052748703907004576279321350926848.html?mod=WSJ_hp_LEFTWhatsNewsCollection) and now zero interest rates indefinitely but with interruptions caused by risk aversion events. Such an event actually occurred in the week of Sep 23, 2011 reversing the devaluation of the dollar in the form of sharp appreciation of the dollar relative to other currencies from all over the world including the offshore Chinese yuan market. Column “Peak” in Table VI-6 shows exchange rates during the crisis year of 2008. There was a flight to safety in dollar-denominated government assets as a result of the arguments in favor of TARP (Cochrane and Zingales 2009). This is evident in various exchange rates that depreciated sharply against the dollar such as the South African rand (ZAR) at the peak of depreciation of ZAR 11.578/USD on Oct 22, 2008. Subsequently, the ZAR appreciated to the trough of ZAR 7.238/USD by Aug 15, 2010 but now depreciating by 45.3 percent to ZAR 10.5199/USD on Dec 27, 2013, which is still 9.1 percent stronger than on Oct 22, 2008. An example from Asia is the Singapore Dollar (SGD) that depreciated at the peak of SGD 1.553/USD on Mar 3, 2009. The SGD depreciated by 13.2 percent to the trough of SGD 1.348/USD on Aug 9, 2010 but is now only 5.9 percent stronger at SGD 1.2688/USD on Dec 27, 2013 relative to the trough of depreciation but still stronger by 18.3 percent relative to the peak of depreciation on Mar 3, 2009. Another example is the Brazilian real (BRL) that depreciated at the peak to BRL 2.43/USD on Dec 5, 2008. The BRL appreciated 28.5 percent to the trough at BRL 1.737/USD on Apr 30, 2010, showing depreciation of 34.6 percent relative to the trough to BRL 2.3387/USD on Dec 27, 2013 but still stronger by 3.8 percent relative to the peak on Dec 5, 2008. At one point in 2011, the Brazilian real traded at BRL 1.55/USD and in the week of Sep 23 surpassed BRL 1.90/USD in intraday trading for depreciation of more than 20 percent. The Banco Central do Brasil (BCB), Brazil’s central bank, lowered its policy rate SELIC for nine consecutive meeting (http://www.bcb.gov.br/?INTEREST) of its monetary policy committee, COPOM. Brazil central bank raised the SELIC rate at its most recent meeting (http://www.bcb.gov.br/textonoticia.asp?codigo=3769&IDPAI=NEWS):

“Copom raises the Selic rate to 10.00 percent

27/11/2013 8:14:00 PM

Brasília – Continuing the adjustment process of the basic interest rate, initiated at the April 2013 meeting, the Copom unanimously decided to increase the Selic rate to 10.00 percent, without bias” (https://www.bcb.gov.br/textonoticia.asp?codigo=3779&IDPAI=NEWS). The Banco Central do Brasil is also engaging in FX auctions (http://www.bcb.gov.br/textonoticia.asp?codigo=3754&IDPAI=NEWS):

“BC announces FX auctions program 22/08/2013 6:44:00 PM

With the aim of providing FX ‘hedge” (protection) to the economic agents and liquidity to the FX market, the Banco Central do Brasil informs that a program of FX swap auctions and US dollar sale auctions with repurchase program will begin, as of Friday, August 23. This program will last, at least, until December 31, 2013. The swap auctions will occur every Monday, Tuesday, Wednesday and Thursday, when US$500 million will be offered per day. On Fridays, a credit line of US$1 billion will be offered to the market, through sale auctions with repurchase agreement. If it is considered appropriate, the Banco Central do Brasil will carry out additional operations.”

Jeffrey T. Lewis, writing on “Brazil steps up battle to curb real’s rise,” on Mar 1, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052970203986604577255793224099580.html?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes new measures by Brazil to prevent further appreciation of its currency, including the extension of the tax on foreign capital for three years terms, subsequently broadened to five years, and intervention in the foreign exchange market by the central bank. Jeff Fick, writing on “Brazil shifts tack to woo wary investors,” on Jun 5, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887324299104578527000680111188.html), analyzes the lifting in the week of Jun 7, 2013, of the tax on foreign transactions designed in Oct 2010 to contain the flood of foreign capital into Brazil that overvalued its currency. Jeffrey T. Lewis, writing on “Brazil’s real closes weaker,” on Jun 14, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323734304578545680335302180.html), analyzes measures to contain accelerated depreciation such as currency swaps and the lifting of the 1 percent tax on exchange derivatives on Jun 12, 2013. Unconventional monetary policy of zero interest rates and quantitative easing creates trends such as the depreciation of the dollar followed by Table VI-6 but with abrupt reversals during risk aversion. The main effects of unconventional monetary policy are on valuations of risk financial assets and not necessarily on consumption and investment or aggregate demand.

Table VI-6, Exchange Rates

	Peak	Trough	∆% P/T	Dec 27, 2013	∆% T Dec 27, 2013	∆% P Dec 27, 2013
EUR USD	7/15 2008	6/7 2010		12/27/ 2013
Rate	1.59	1.192		1.3746
∆%			-33.4		13.3	-15.7
JPY USD	8/18 2008	9/15 2010		12/27/ 2013
Rate	110.19	83.07		105.16
∆%			24.6		-26.6	4.6
CHF USD	11/21 2008	12/8 2009		12/27/ 2013
Rate	1.225	1.025		0.8916
∆%			16.3		13.0	27.2
USD GBP	7/15 2008	1/2/ 2009		12/27/ 2013
Rate	2.006	1.388		1.6482
∆%			-44.5		15.8	-21.7
USD AUD	7/15 2008	10/27 2008		12/27/ 2013
Rate	1.0215	1.6639		0.8869
∆%			-62.9		32.2	-10.4
ZAR USD	10/22 2008	8/15 2010		12/27/ 2013
Rate	11.578	7.238		10.5199
∆%			37.5		-45.3	9.1
SGD USD	3/3 2009	8/9 2010		12/27/ 2013
Rate	1.553	1.348		1.2688
∆%			13.2		5.9	18.3
HKD USD	8/15 2008	12/14 2009		12/27/ 2013
Rate	7.813	7.752		7.7549
∆%			0.8		0.0	0.7
BRL USD	12/5 2008	4/30 2010		12/27/ 2013
Rate	2.43	1.737		2.3387
∆%			28.5		-34.6	3.8
CZK USD	2/13 2009	8/6 2010		12/27/ 2013
Rate	22.19	18.693		19.947
∆%			15.7		-6.7	10.1
SEK USD	3/4 2009	8/9 2010		12/27/ 2013
Rate	9.313	7.108		6.5150
∆%			23.7		8.3	30.0
CNY USD	7/20 2005	7/15 2008		12/27/ 2013
Rate	8.2765	6.8211		6.0678
∆%			17.6		11.0	26.7

Symbols: USD: US dollar; EUR: euro; JPY: Japanese yen; CHF: Swiss franc; GBP: UK pound; AUD: Australian dollar; ZAR: South African rand; SGD: Singapore dollar; HKD: Hong Kong dollar; BRL: Brazil real; CZK: Czech koruna; SEK: Swedish krona; CNY: Chinese yuan; P: peak; T: trough

Note: percentages calculated with currencies expressed in units of domestic currency per dollar; negative sign means devaluation and no sign appreciation

Source:

http://professional.wsj.com/mdc/public/page/mdc_currencies.html?mod=mdc_topnav_2_3000

There are major ongoing and unresolved realignments of exchange rates in the international financial system as countries and regions seek parities that can optimize their productive structures. Seeking exchange rate parity or exchange rate optimizing internal economic activities is complex in a world of unconventional monetary policy of zero interest rates and even negative nominal interest rates of government obligations such as negative yields for the two-year government bond of Germany. Regulation, trade and devaluation conflicts should have been expected from a global recession (Pelaez and Pelaez (2007), The Global Recession Risk, Pelaez and Pelaez, Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008a)): “There are significant grounds for concern on the basis of this experience. International economic cooperation and the international financial framework can collapse during extreme events. It is unlikely that there will be a repetition of the disaster of the Great Depression. However, a milder contraction can trigger regulatory, trade and exchange wars” (Pelaez and Pelaez, Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c), 181). Chart VI-2 of the Board of Governors of the Federal Reserve System provides the key exchange rate of US dollars (USD) per euro (EUR) from Jan 4, 1999 to Dec 20, 2013. US recession dates are in shaded areas. The rate on Jan 4, 1999 was USD 1.1812/EUR, declining to USD 0.8279/EUR on Oct 25, 2000, or appreciation of the USD by 29.9 percent. The rate depreciated 21.9 percent to USD 1.0098/EUR on Jul 22, 2002. There was sharp devaluation of the USD of 34.9 percent to USD 1.3625/EUR on Dec 27, 2004 largely because of the 1 percent interest rate between Jun 2003 and Jun 2004 together with a form of quantitative easing by suspension of auctions of the 30-year Treasury, which was equivalent to withdrawing supply from markets. Another depreciation of 17.5 percent took the rate to USD 1.6010/EUR on Apr 22, 2008, already inside the shaded area of the global recession. The flight to the USD and obligations of the US Treasury appreciated the dollar by 22.3 percent to USD 1.2446/EUR on Oct 27, 2008. In the return of the carry trade after stress tests showed sound US bank balance sheets, the rate depreciated 21.2 percent to USD 1.5085/EUR on Nov 25, 2009. The sovereign debt crisis of Europe in the spring of 2010 caused sharp appreciation of 20.7 percent to USD 1.1959/EUR on Jun 6, 2010. Renewed risk appetite depreciated the rate 24.4 percent to USD 1.4875/EUR on May 3, 2011. The rate appreciated 8.1 percent to USD 1.3673/EUR on Dec 20, 2013, which is the last point in Chart VI-2. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-2, US Dollars (USD) per Euro (EUR), Jan 4, 1999 to Dec 20, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-3 of the Board of Governors of the Federal Reserve System provides indexes of the dollar from 2010 to 2013. The dollar depreciates during episodes of risk appetite but appreciate during risk aversion as funds seek dollar-denominated assets in avoiding financial risk.

Chart VI-3, US Dollar Currency Indexes

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/DataDownload/Chart.aspx?rel=H10&series=122e3bcb627e8e53f1bf72a1a09cfb81&lastObs=260&from=&to=&filetype=csv&label=include&layout=seriescolumn&pp=Download&names=%7bH10/H10/JRXWTFB_N.B,H10/H10/JRXWTFN_N.B,H10/H10/JRXWTFO_N.B%7d

Chart VI-4 of the Board of Governors of the Federal Reserve System provides the exchange rate of the US relative to the euro, or USD/EUR. During maintenance of the policy of zero fed funds rates the dollar appreciates during periods of significant risk aversion such as the flight into US government obligations in late 2008 and early 2009 and during the various fears generated by the European sovereign debt crisis.

Chart VI-4, US Dollars per Euro, 2010-2013

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/DataDownload/Chart.aspx?rel=H10&series=e85cfb140ce469e13bec458013262fa1&lastObs=780&from=&to=&filetype=csv&label=include&layout=seriescolumn&pp=Download&names=%7bH10/H10/RXI$US_N.B.EU%7d

Chart VI-5 provides Japanese yen (JPY) per US dollar (USD) from Jan 4, 1971 to Dec 20, 2013. The first data point on the extreme left is JPY 357.7300/USD for Jan 4, 1971. The JPY has appreciated over the long term relative to the USD with fluctuations along an evident long-term appreciation. Before the global recession, the JPY stood at JPY 124.0900/USD on Jun 22, 2007. The use of the JPY as safe haven is evident by sharp appreciation during the global recession to JPY 110.48/USD on Aug 15, 2008, and to JPY 87.8000/USD on Jan 21, 2009. The final data point in Chart VI-5 is JPY 104.0700/USD on Dec 20, 2013 for appreciation of 16.1 percent relative to JPY 124.0900/USD on Jun 22, 2007 before the global recession and expansion characterized by recurring bouts of risk aversion. Takashi Nakamichi and Eleanor Warnock, writing on “Japan lashes out over dollar, euro,” on Dec 29, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887323530404578207440474874604.html?mod=WSJ_markets_liveupdate&mg=reno64-wsj), analyze the “war of words” launched by Japan’s new Prime Minister Shinzo Abe and his finance minister Taro Aso, arguing of deliberate devaluations of the USD and EUR relative to the JPY, which are hurting Japan’s economic activity. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-5, Japanese Yen JPY per US Dollars USD, Monthly, Jan 4, 1971-Dec 20, 2013

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html 

Zero interest rates in the United States forever tend to depreciate the dollar against every other currency if there is no risk aversion preventing portfolio rebalancing toward risk financial assets, which include the capital markets and exchange rates of emerging-market economies. The objective of unconventional monetary policy as argued by Yellen 2011AS) is to devalue the dollar to increase net exports that increase US economic growth. Increasing net exports and internal economic activity in the US is equivalent to decreasing net exports and internal economic activity in other countries.

Continental territory, rich endowment of natural resources, investment in human capital, teaching and research universities, motivated labor force and entrepreneurial initiative provide Brazil with comparative advantages in multiple economic opportunities. Exchange rate parity is critical in achieving Brazil’s potential but is difficult in a world of zero interest rates. Chart IV-6 of the Board of Governors of the Federal Reserve System provides the rate of Brazilian real (BRL) per US dollar (USD) from BRL 1.2074/USD on Jan 4, 1999 to BRL 2.3741/USD on Dec 20, 2013. The rate reached BRL 3.9450/USD on Oct 10, 2002 appreciating 60.5 percent to BRL 1.5580/USD on Aug 1, 2008. The rate depreciated 68.1 percent to BRL 2.6187/USD on Dec 5, 2008 during worldwide flight from risk. The rate appreciated again by 41.3 percent to BRL 1.5375/USD on Jul 26, 2011. The final data point in Chart VI-6 is BRL 2.3741/USD on Dec 20, 2013 for depreciation of 54.4 percent. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-6, Brazilian Real (BRL) per US Dollar (USD) Jan 4, 1999 to Dec 20, 2013

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-7 of the Board of Governors of the Federal Reserve System provides the history of the BRL beginning with the first data point of BRL 0.8440/USD on Jan 2, 1995. The rate jumped to BRL 2.0700/USD on Jan 29, 1999 after changes in exchange rate policy and then to BRL 2.2000/USD on Mar 3, 1999. The rate depreciated 26.7 percent to BRL 2.7880/USD on Sep 21, 2001 relative to Mar 3, 1999.

Chart VI-7, Brazilian Real (BRL) per US Dollar (USD), Jan 2, 1995 to Dec 20, 2013

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Table VI-7, updated with every blog comment, provides in the second column the yield at the close of market of the 10-year Treasury note on the date in the first column. The price in the third column is calculated with the coupon of 2.625 percent of the 10-year note current at the time of the second round of quantitative easing after Nov 3, 2010 and the final column “∆% 11/04/10” calculates the percentage change of the price on the date relative to that of 101.2573 at the close of market on Nov 4, 2010, one day after the decision on quantitative easing by the Fed on Nov 3, 2010. Prices with new coupons such as 2.0 percent in recent auctions (http://www.treasurydirect.gov/RI/OFAuctions?form=extended&cusip=912828RR3) are not comparable to prices in Table VI-7. The highest yield in the decade was 5.510 percent on May 1, 2001 that would result in a loss of principal of 22.9 percent relative to the price on Nov 4. Monetary policy has created a “duration trap” of bond prices. Duration is the percentage change in bond price resulting from a percentage change in yield or what economists call the yield elasticity of bond price. Duration is higher the lower the bond coupon and yield, all other things constant. This means that the price loss in a yield rise from low coupons and yields is much higher than with high coupons and yields. Intuitively, the higher coupon payments offset part of the price loss. Prices/yields of Treasury securities were affected by the combination of Fed purchases for its program of quantitative easing and also by the flight to dollar-denominated assets because of geopolitical risks in the Middle East, subsequently by the tragic Great East Japan Earthquake and Tsunami and now again by the sovereign risk doubts in Europe and the growth recession in the US and the world. The yield of 3.004 percent at the close of market on Fri Dec 27, 2013 would be equivalent to price of 96.7472 in a hypothetical bond maturing in 10 years with coupon of 2.625 percent for price loss of 4.5 percent relative to the price on Nov 4, 2010, one day after the decision on the second program of quantitative easing, as shown in the last row of Table VI-7. The price loss between Sep 7, 2012 and Sep 14, 2012 would have been 1.7 percent in just five trading days. The price loss between Jun 1, 2012 and Jun 8, 2012 would have been 1.6 percent, in just a week, and much higher with leverage of 10:1 as typical in Treasury positions. The price loss between Mar 9, 2012 and Mar 16, 2012 is 2.3 percent but much higher when using common leverage of 10:1. The price loss between Dec 28, 2012 and Jan 4, 2013 would have been 1.7 percent. These losses defy annualizing. If inflation accelerates, yields of Treasury securities may rise sharply. Yields are not observed without special yield-lowering effects such as the flight into dollars caused by the events in the Middle East, continuing purchases of Treasury securities by the Fed, the tragic Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011 affecting Japan, recurring fears on European sovereign credit issues and worldwide risk aversion in the week of Sep 30 caused by “let’s twist again” monetary policy. The realization of a growth standstill recession is also influencing yields. Important causes of the earlier rise in yields shown in Table VI-7 are expectations of rising inflation and US government debt estimated to be around 72.5 percent of GDP in 2012 (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html http://cmpassocregulationblog.blogspot.com/2012/02/thirty-one-million-unemployed-or.html http://cmpassocregulationblog.blogspot.com/2011/08/united-states-gdp-growth-standstill.html http://cmpassocregulationblog.blogspot.com/2011/02/policy-inflation-growth-unemployment.html http://cmpassocregulationblog.blogspot.com/2011/04/budget-quagmire-fed-commodities_10.html), rising from 40.5 percent of GDP in 2008, 54.1 percent in 2009 (Table IV-1 at http://cmpassocregulationblog.blogspot.com/2012/02/thirty-one-million-unemployed-or.html and Table 2 in http://cmpassocregulationblog.blogspot.com/2011/04/budget-quagmire-fed-commodities_10.html) and 67.7 percent in 2011 (see Table IB-2 http://cmpassocregulationblog.blogspot.com/2012/08/expanding-bank-cash-and-deposits-with.html). On Dec 18, 2013, the line “Reserve Bank credit” in the Fed balance sheet stood at $3989 billion, or $3.9 trillion. The portfolio of long-term securities (“securities held outright”) of $3749 billion, or $3.7 trillion, consists of $2104 billion Treasury nominal notes and bonds, $91 billion of notes and bonds inflation-indexed, $57 billion Federal agency debt securities and $1497 billion mortgage-backed securities. Reserve balances deposited with Federal Reserve Banks reached $2451 billion or $2.5 trillion (http://www.federalreserve.gov/releases/h41/current/h41.htm#h41tab1). There is no simple exit of this trap created by the highest monetary policy accommodation in US history together with the highest deficits and debt in percent of GDP since World War II. Risk aversion from various sources, discussed in section III World Financial Turbulence, has been affecting financial markets for several months. The risk is that in a reversal of exposures because of increasing risk aversion that has been typical in this cyclical expansion of the economy yields of Treasury securities may back up sharply.

Table VI-7, Yield, Price and Percentage Change to November 4, 2010 of Ten-Year Treasury Note

Date	Yield	Price	∆% 11/04/10
05/01/01	5.510	78.0582	-22.9
06/10/03	3.112	95.8452	-5.3
06/12/07	5.297	79.4747	-21.5
12/19/08	2.213	104.4981	3.2
12/31/08	2.240	103.4295	2.1
03/19/09	2.605	100.1748	-1.1
06/09/09	3.862	89.8257	-11.3
10/07/09	3.182	95.2643	-5.9
11/27/09	3.197	95.1403	-6.0
12/31/09	3.835	90.0347	-11.1
02/09/10	3.646	91.5239	-9.6
03/04/10	3.605	91.8384	-9.3
04/05/10	3.986	88.8726	-12.2
08/31/10	2.473	101.3338	0.08
10/07/10	2.385	102.1224	0.8
10/28/10	2.658	99.7119	-1.5
11/04/10	2.481	101.2573	-
11/15/10	2.964	97.0867	-4.1
11/26/10	2.869	97.8932	-3.3
12/03/10	3.007	96.7241	-4.5
12/10/10	3.324	94.0982	-7.1
12/15/10	3.517	92.5427	-8.6
12/17/10	3.338	93.9842	-7.2
12/23/10	3.397	93.5051	-7.7
12/31/10	3.228	94.3923	-6.7
01/07/11	3.322	94.1146	-7.1
01/14/11	3.323	94.1064	-7.1
01/21/11	3.414	93.4687	-7.7
01/28/11	3.323	94.1064	-7.1
02/04/11	3.640	91.750	-9.4
02/11/11	3.643	91.5319	-9.6
02/18/11	3.582	92.0157	-9.1
02/25/11	3.414	93.3676	-7.8
03/04/11	3.494	92.7235	-8.4
03/11/11	3.401	93.4727	-7.7
03/18/11	3.273	94.5115	-6.7
03/25/11	3.435	93.1935	-7.9
04/01/11	3.445	93.1129	-8.0
04/08/11	3.576	92.0635	-9.1
04/15/11	3.411	93.3874	-7.8
04/22/11	3.402	93.4646	-7.7
04/29/11	3.290	94.3759	-6.8
05/06/11	3.147	95.5542	-5.6
05/13/11	3.173	95.3387	-5.8
05/20/11	3.146	95.5625	-5.6
05/27/11	3.068	96.2089	-4.9
06/03/11	2.990	96.8672	-4.3
06/10/11	2.973	97.0106	-4.2
06/17/11	2.937	97.3134	-3.9
06/24/11	2.872	97.8662	-3.3
07/01/11	3.186	95.2281	-5.9
07/08/11	3.022	96.5957	-4.6
07/15/11	2.905	97.5851	-3.6
07/22/11	2.964	97.0847	-4.1
07/29/11	2.795	98.5258	-2.7
08/05/11	2.566	100.5175	-0.7
08/12/11	2.249	103.3504	2.1
08/19/11	2.066	105.270	3.7
08/26/11	2.202	103.7781	2.5
09/02/11	1.992	105.7137	4.4
09/09/11	1.918	106.4055	5.1
09/16/11	2.053	101.5434	0.3
09/23/11	1.826	107.2727	5.9
09/30/11	1.912	106.4602	5.1
10/07/11	2.078	104.9161	3.6
10/14/11	2.251	103.3323	2.0
10/21/11	2.220	103.6141	2.3
10/28/11	2.326	102.6540	1.4
11/04/11	2.066	105.0270	3.7
11/11/11	2.057	105.1103	3.8
11/18/11	2.003	105.6113	4.3
11/25/11	1.964	105.9749	4.7
12/02/11	2.042	105.2492	3.9
12/09/11	2.065	105.0363	3.7
12/16/11	1.847	107.0741	5.7
12/23/11	2.027	105.3883	4.1
12/30/11	1.871	106.8476	5.5
01/06/12	1.957	106.0403	4.7
01/13/12	1.869	106.8664	5.5
01/20/12	2.026	105.3976	4.1
01/27/12	1.893	106.6404	5.3
02/03/12	1.923	106.3586	5.0
02/10/12	1.974	105.8815	4.6
02/17/12	2.000	105.6392	4.3
02/24/12	1.977	105.8535	4.5
03/02/12	1.977	105.8535	4.5
03/09/12	2.031	105.3512	4.0
03/16/12	2.294	102.9428	1.7
03/23/12	2.234	103.4867	2.2
03/30/12	2.214	103.6687	2.4
04/06/12	2.058	105.1010	3.8
04/13/12	1.987	105.7603	4.4
04/20/12	1.959	106.0216	4.7
04/27/12	1.931	106.2836	5.0
05/04/12	1.876	106.8004	5.5
05/11/12	1.845	107.0930	5.8
05/18/12	1.714	108.3393	7.0
05/25/12	1.738	108.1098	6.8
06/01/12	1.454	110.8618	9.5
06/08/12	1.635	109.0989	7.7
06/15/12	1.584	109.5924	8.2
06/22/12	1.676	108.7039	7.4
06/29/12	1.648	108.9734	7.6
07/06/12	1.548	109.9423	8.6
07/13/12	1.49	110.5086	9.1
07/20/12	1.459	110.8127	9.4
07/27/12	1.544	109.9812	8.6
08/03/12	1.569	109.7380	8.4
08/10/12	1.658	108.8771	7.5
08/17/12	1.814	107.3864	6.1
08/24/12	1.684	108.6270	7.3
08/31/12	1.543	109.9910	8.6
9/7/12	1.668	108.7808	7.4
9/14/12	1.863	106.9230	5.6
9/21/12	1.753	107.9666	6.6
9/28/12	1.631	109.1375	7.8
10/05/12	1.737	108.1193	6.8
10/12/12	1.663	108.8290	7.5
10/19/12	1.766	107.8426	6.5
10/26/12	1.748	108.0143	6.7
11/02/12	1.715	108.3297	7.0
11/09/12	1.614	109.3018	7.9
11/16/12	1.584	109.5924	8.2
11/23/12	1.691	108.5598	7.2
11/30/12	1.612	109.3211	7.9
12/7/12	1.625	109.1954	7.8
12/14/12	1.704	108.4351	7.1
12/21/12	1.770	107.8045	6.5
12/28/12	1.699	108.4831	7.1
1/4/13	1.898	106.5934	5.3
1/11/13	1.862	106.9324	5.6
1/18/13	1.840	107.1403	5.8
1/25/13	1.947	106.1338	4.8
2/1/13	2.024	105.4161	4.1
2/8/13	1.949	106.1151	4.8
2/15/13	2.007	105.5741	4.3
2/22/13	1.967	105.9469	4.6
3/1/13	1.842	107.1213	5.8
3/8/13	2.056	105.1195	3.8
3/15/13	1.992	105.7137	4.4
03/22/13	1.931	106.2836	5.0
03/29/13	1.847	107.0741	5.7
04/05/13	1.706	108.4160	7.1
04/12/13	1.719	108.2914	6.9
04/19/13	1.702	108.4543	7.1
04/26/13	1.663	108.8290	7.5
05/3/13	1.742	108.2436	6.9
05/10/13	1.896	106.6122	5.3
05/17/13	1.952	106.0870	4.8
05/24/13	2.009	105.5555	4.2
05/31/13	2.132	104.5015	3.2
06/07/13	2.174	104.0338	2.7
06/14/13	2.125	104.4831	3.2
06/21/13	2.542	100.7288	-0.5
06/28/13	2.486	101.2240	0.0
07/5/13	2.734	99.0519	-2.2
07/12/13	2.585	100.3505	-0.9
07/19/13	2.480	101.2772	0.0
07/26/13	2.565	100.5263	-0.7
08/2/13	2.597	100.2452	-1.0
8/9/13	2.579	100.4032	-0.8
8/16/13	2.829	98.2339	-3.0
8/23/13	2.818	98.3283	-2.9
8/30/13	2.784	98.6205	-2.6
9/6/13	2.941	97.2795	-3.9
9/13/13	2.890	97.7128	-3.5
9/20/13	2.734	99.0519	-2.2
9/27/13	2.626	99.9913	-1.3
10/4/13	2.645	99.8253	-1.4
10/11/13	2.688	99.4508	-1.8
10/18/13	2.588	100.3242	-0.9
10/25/13	2.507	101.0380	-0.2
11/1/13	2.622	100.0262	-1.2
11/8/13	2.750	98.9136	-2.3
11/15/13	2.704	99.3118	-1.9
11/22/13	2.746	98.9482	-2.3
11/29/13	2.743	98.9741	-2.3
12/6/13	2.858	97.9858	-3.2
12/13/13	2.865	97.9260	-3.3
12/20/13	2.891	97.7043	-3.5
12/27/13	3.004	96.7472	-4.5

Note: price is calculated for an artificial 10-year note paying semi-annual coupon and maturing in ten years using the actual yields traded on the dates and the coupon of 2.625% on 11/04/10

Source:

http://professional.wsj.com/mdc/public/page/mdc_bonds.html?mod=mdc_topnav_2_3000

Table VI-7A provides federal debt outstanding, held by government accounts and held by the public in millions of dollars for fiscal years from 2007 to 2013. Federal debt outstanding has increased 85.8 percent from fiscal year 2007 to fiscal year 2013 while federal debt held by the public has increased 136.7 percent and federal debt held by government accounts has increased 20.2 percent. In Sep 2013, government debt held by the public reached $12,006,076 million, which is 136.7 percent higher than $5,072,195 million in 2007.

Table VI-7A, US, Federal Debt Outstanding, Held by Government Accounts and Held by the Public, Millions of Dollars

	Outstanding	Held by Government Accounts	Held by the Public
2013 Sep	16,763,286	4,757,211	12,006,076
2013 Aug	16,763,581	4,766,719	11,996,862
2013 Jul	16,763,730	4,816,157	11,947,573
2013 Jun	16,763,286	4,831,752	11,931,534
2013 Mar	16,796,009	4,848,930	11,947,079
2012 Dec	16,457,613	4,846,174	11,611,439
Fiscal Years
2013	16,783,286	4,757,211	12,006,076
2012	16,090,640	4,791,850	11,298,790
2011	14,815,328	4,658,307	10,157,021
2010	13,585,596	4,534,014	9,051,582
2009	11,933,031	4,355,292	7,577,739
2008	10,047,828	4,210,491	5,837,337
2007	9,030,612	3,958,417	5,072,195
∆% 2007-2013	85.8	20.2	136.7

Source: United States Treasury. 2013Dec. Treasury Bulletin. Washington, DC, Dec 2013

http://www.fms.treas.gov/bulletin/index.html

Table VI-7B provides the maturity distribution and average length in months of marketable interest-bearing debt held by private investors from 2007 to Sep 2013. Total debt held by investors increased from $3635 billion in 2007 to $9518 billion in fiscal year 2013 or by 161.8 percent and to $9518 billion in Sep 2013 (end of fiscal year 2013) or increase by 161.8 percent. There are two concerns with the maturity distribution of US debt. (1) Growth of debt is moving total debt to the point of saturation in investors’ portfolio. In a new environment of risk appetite and nonzero fed funds rates with economic growth at historical trend of around 3 percent, yields on risk financial assets are likely to increase. Placement of new debt may require increasing interest rates in an environment of continuing placement of debt by the US Treasury without strong fiscal constraints. (2) Refinancing of maturing debt is likely to occur in an environment of higher interest rates, exerting pressure on future fiscal budgets. In Sep 2013, $2940 billion or 30.9 percent of outstanding debt held by investors matures in less than a year and $4135 billion or 43.4 percent of total debt matures in one to five years. Debt maturing in five years or less adds to $7075 billion or 74.3 percent of total outstanding debt held by investors of $9518 billion. This historical episode may be remembered as one in which the US managed its government debt with short-dated instruments during record low long-dated yields and on the verge of fiscal pressures on all interest rates. This strategy maximizes over time interest payments on government debt by taxpayers that is precisely the opposite of the objective of sound debt management and taxpayer welfare.

Table VI-7B, Maturity Distribution and Average Length in Months of Marketable Interest-Bearing Public Debt Held by Private Investors, Billions of Dollars

End of Fiscal Year or Month	2007	2008	2009	2010	2011	2012	2013	Sep 2013
Total*	3635	4745	6229	7676	7951	9040	9518	9518
<1 Year	1176	2042	2605	2480	2504	2897	2940	2940
1-5 Years	1310	1468	2075	2956	3085	3852	4135	4135
5-10 Years	678	719	995	1529	1544	1488	1648	1648
10-20 Years	292	352	351	341	309	271	231	231
>20 Years	178	163	204	371	510	533	565	565
Average Months	58	49	49	57	60	55	55	55

*Amount Outstanding Privately Held

Source: United States Treasury. 2013Sep. Treasury Bulletin. Washington, Sep

http://www.fms.treas.gov/bulletin/index.html

Table VI-7C provides additional information required for understanding the deficit/debt situation of the United States. The table is divided into three parts: federal fiscal data for the years from 2009 to 2012; federal fiscal data for the years from 2005 to 2008; and Treasury debt held by the public from 2005 to 2012. Total revenues of the US from 2009 to 2012 accumulate to $9021 billion, or $9.0 trillion, while expenditures or outlays accumulate to $14,109 billion, or $14.1 trillion, with the deficit accumulating to $5090 billion, or $5.1 trillion. Revenues decreased 6.5 percent from $9653 billion in the four years from 2005 to 2008 to $9021 billion in the years from 2009 to 2012. Decreasing revenues were caused by the global recession from IVQ2007 (Dec) to IIQ2009 (Jun) and also by growth of only 2.3 percent on average in the cyclical expansion from IIIQ2009 to IIIQ2013. In contrast, the expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html). Because of mediocre GDP growth, there are 28.1 million unemployed or underemployed in the United States for an effective unemployment rate of 17.2 percent (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html). Weakness of growth and employment creation is analyzed in IB Collapse of United States Dynamism of Income Growth and Employment Creation (and earlier http://cmpassocregulationblog.blogspot.com/2013/10/collapse-of-united-states-dynamism-of.html). In contrast with the decline of revenue, outlays or expenditures increased 30.2 percent from $10,839 billion, or $10.8 trillion, in the four years from 2005 to 2008, to $14,109 billion, or $14.1 trillion, in the four years from 2009 to 2012. Increase in expenditures by 30.2 percent while revenue declined by 6.5 percent caused the increase in the federal deficit from $1186 billion in 2005-2008 to $5090 billion in 2009-2012. Federal revenue was 14.9 percent of GDP on average in the years from 2009 to 2012, which is well below 17.4 percent of GDP on average from 1973 to 2012. Federal outlays were 23.3 percent of GDP on average from 2009 to 2012, which is well above 20.4 percent of GDP on average from 1973 to 2012. The lower part of Table VI-7C shows that debt held by the public swelled from $5803 billion in 2008 to $11,281 billion in 2012, by $5478 billion or 94.4 percent. Debt held by the public as percent of GDP or economic activity jumped from 39.3 percent in 2008 to 70.1 percent in 2012, which is well above the average of 38.0 percent from 1973 to 2012. The United States faces tough adjustment because growth is unlikely to recover, creating limits on what can be obtained by increasing revenues, while continuing stress of social programs restricts what can be obtained by reducing expenditures.

Table VI-7C, US, Treasury Budget and Debt Held by the Public, Billions of Dollars and Percent of GDP 

	Receipts	Outlays	Deficit (-), Surplus (+)
$ Billions
2012	2,450	3,537	-1,087
Fiscal Year 2011	2,303	3,598	-1,296
Fiscal Year 2010	2,163	3,456	-1,294
Fiscal Year 2009	2,105	3,518	-1,413
Total 2009-2012	9,021	14,109	-5,090
Average % GDP 2009-2012	14.9	23.3	-8.4
Fiscal Year 2008	2,524	2,983	-459
Fiscal Year 2007	2,568	2,729	-161
Fiscal Year 2006	2,407	2,655	-248
Fiscal Year 2005	2,154	2,472	-318
Total 2005-2008	9,653	10,839	-1,186
Average % GDP 2005-2008	17.3	19.5	-2.1
Debt Held by the Public	Billions of Dollars	Percent of GDP
2005	4,592	35.6
2006	4,829	35.3
2007	5,035	35.1
2008	5,803	39.3
2009	7,545	52.3
2010	9,019	61.0
2011	10,128	65.8
2012	11,281	70.1

Source: http://www.fms.treas.gov/mts/index.html CBO (2012NovMBR). CBO (2011AugBEO); Office of Management and Budget 2011. Historical Tables. Budget of the US Government Fiscal Year 2011. Washington, DC: OMB; CBO. 2011JanBEO. Budget and Economic Outlook. Washington, DC, Jan. CBO. 2012AugBEO. Budget and Economic Outlook. Washington, DC, Aug 22. CBO. 2012Jan31. Historical budget data. Washington, DC, Jan 31. CBO. 2012NovCDR. Choices for deficit reduction. Washington, DC. Nov. CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office, Feb 5. CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office, Feb 5. CBO (2013Aug12). 2013AugHBD. Historical budget data—August 2013. Washington, DC, Congressional Budget Office, Aug.

Total outlays of the federal government of the United States have grown to extremely high levels. Table VI-7D of the CBO (2013Aug12) provides total outlays in 2006 and 2012. Total outlays of $3537.1 billion in 2012, or $3.5 trillion, are higher by $882 billion, or $0.9 trillion, relative to $2655.1 billion in 2006, or $2.7 trillion. Outlays have grown from 19.4 percent of GDP in 2007 to 22.0 percent of GDP in 2012. Outlays as percent of GDP were on average 20.4 percent from 1973 to 2012 and receipts as percent of GDP were on average 17.4 percent of GDP. It has proved extremely difficult to increase receipts above 19 percent of GDP. Mandatory outlays increased from $1411.8 billion in 2006 to $2031.3 billion in 2012, by $619.5 billion. The final row shows that the total of social security, Medicare, Medicaid, Income Security, net interest and defense absorbs 79.6 percent of US total outlays. There has been no meaningful constraint of spending, which is quite difficult because of the rigid structure of social programs.

Table VI-7D, US, Central Government Total Revenue and Outlays, Billions of Dollars and Percent

	2006	% Total	2012	% Total
I TOTAL REVENUE $B	2406.9	100.0	2450.2	100.0
% GDP	17.6		15.2
Individual Income Taxes $B	1043.9		1132.2
% GDP	7.6		7.0
Corporate Income Taxes $B	353.9		243.2
% GDP	2.6		1.5
Social Insurance Taxes	837.8		845.3
% GDP	6.1		5.3
II TOTAL OUTLAYS	2655.1		3537.1
% GDP	19.4		22.0
Discretionary	1016.6		1285.4
% GDP	7.4		8.0
Defense	520.0		670.5
% GDP	3.8		4.2
Nondefense	496.7		614.8
% GDP	3.6		3.8
Mandatory	1411.8		2031.3
% GDP	10.3		12.6
Social Security	543.9		767.7
% GDP	4.0		4.8
Medicare	376.8		551.2
% GDP	2.8		3.4
Medicaid	180.6		250.5
% GDP	1.3		1.6
Income Security	200.1		353.7
% GDP	1.5		2.2
Offsetting Receipts	-144.1		-210.0
% GDP	-1.1		-1.3
Net Interest	226.6		220.4
% GDP	1.7		1.4
Defense +Social Security          +Medicare +Medicaid +Income Security +Net interest +Defense	2048.0	77.1*	2814.0	79.6*
% GDP	15.0		17.5

*Percent of Total Outlays

Source: CBO (2013Aug12). 2013AugHBD. Historical budget data—August 2013. Washington, DC, Congressional Budget Office, Aug.

Table VI-7E provides 40-year average ratios of fiscal variables to GDP before and after the revision by the Bureau of Economic Analysis (BEA) in Aug 2013 (http://www.bea.gov/iTable/index_nipa.cfm). The ratios are equal or slightly higher because of the addition of intellectual property to GDP estimates. There are no major changes.

Table VI-7E, US, Congressional Budget Office, 40-Year Averages of Revenues and Outlays Before and After Update of the US National Income Accounts by the Bureau of Economic Analysis, % of GDP 

	Before Update	After Update
Revenues
Individual Income Taxes	8.2	7.9
Social Insurance Taxes	6.2	6.0
Corporate Income Taxes	1.9	1.9
Other	1.6	1.6
Total Revenues	17.9	17.4
Outlays
Mandatory	10.2	9.9
Discretionary	8.6	8.4
Net Interest	2.2	2.2
Total Outlays	21.0	20.4
Deficit	-3.1	-3.0
Debt Held by the Public	39.2	38.0

Source: CBO (2013Aug12Av). Kim Kowaleski and Amber Marcellino.

Table VI-7F provides the long-term budget outlook of the CBO for 2013, 2023 and 2038. Revenues increase from 17.0 percent of GDP in 2013 to 19.7 percent in 2038. The growing stock of debt raises net interest spending from 1.3 percent of GDP in 2013 to 3.1 percent in 2023 and 4.9 percent 2038. Total spending increases from 20.8 percent of GDP in 2013 to 26.2 percent in 2038. Federal debt held by the public rises to 100.0 percent of GDP in 2038. US fiscal affairs are in an unsustainable path with tough rigidities in spending and revenue.

Table VI-7F, Congressional Budget Office, Long-term Budget Outlook, % of GDP

	2013	2023	2038
Revenues	17.0	18.5	19.7
Total Noninterest Spending	19.5	18.8	21.3
Social Security	4.9	5.3	6.2
Medicare	3.0	3.3	4.9
Medicaid, CHIP and Exchange Subsidies	1.7	2.6	3.2
Other	10.0	7.6	7.1
Net Interest	1.3	3.1	4.9
Total Spending	20.8	21.8	26.2
Revenues Minus Total Noninterest Spending	-2.5	-0.3	-1.6
Revenues Minus Total Spending	-3.9	-3.3	-6.4
Federal Debt Held by the Public	73.0	71.0	100.0

Source: CBO (2013Sep17). The 2013 long-term budget outlook. Washington, DC, Congressional Budget Office, Sep 17.

Chart VI-8 of the Board of Governors of the Federal Reserve System provides the yield of the ten-year constant maturity Treasury and the overnight fed funds rate from Jan 2, 1962 to Dec 26, 2013. The yield of the ten-year constant maturity Treasury stood at 7.67 percent on Feb 16, 1977. A peak was reached at 15.21 percent on Oct 26, 1981 during the inflation control effort by the Fed. There is a second local peak in Chart VI-8 on May 3, 1984 at 13.94 percent followed by another local peak at 8.14 percent on Nov 21, 1994 during another inflation control effort (see Appendix I The Great Inflation). There was sharp reduction of the yields from 5.44 percent on Apr 1, 2002 until they reached a low point of 3.13 percent on Jun 13, 2003. The fed funds rate was 1.18 percent on Jun 23, 2003 and the ten-year yield 3.36 percent. Yields rose again to 4.89 percent on Jun 14, 2004 with the fed funds rate at 1.02 percent and the ten-year yield stood at 5.23 percent on Jul 5, 2006. At the onset of the financial crisis on Sep 17, 2007, the fed funds rate was 5.33 percent and the ten-year yield 4.48 percent. On Dec 26, 2008, the fed funds rate was 0.09 percent and the ten-year yield 2.16 percent. Yields declined sharply during the financial crisis, reaching 2.08 percent on Dec 18, 2008, lowered by higher prices originating in sharply increasing demand in the flight to the US dollar and obligations of the US government. Yields rose again to 4.01 percent on Apr 5, 2010 but collapsed to 2.41 percent on Oct 8, 2010 because of higher demand originating in the flight from the European sovereign risk event. During higher risk appetite, yields rose to 3.75 percent on Feb 8, 2011 and collapsed to 3.00 percent on Dec 26, 2013 with the fed funds rate at 0.08 percent, which is the last data point in Chart VI-8. There has been a trend of decline of yields with oscillations. During periods of risk aversion investors seek protection in obligations of the US government, causing decline in their yields. In an eventual resolution of international financial risks with higher economic growth, there could be the trauma of rising yields with significant capital losses in portfolios of government securities. The data in Table VI-7 in the text is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-8, US, Overnight Federal Funds Rate and Ten-Year Treasury Constant Maturity Yield, Jan 2, 1962 to Dec 26, 2013

Note: US Recessions in Shaded Areas 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Chart VI-9 of the Board of Governors of the Federal Reserve System provides securities held outright by Federal Reserve banks from 2002 to 2013. The first data point in Chart VI-9 is the level for Dec 18, 2002 of $629,407 million and the final data point in Chart VI-9 is level of $3,762,993 million on Dec 25, 2013.

Chart VI-9, US, Securities Held Outright by Federal Reserve Banks, Wednesday Level, Dec 18, 2002 to Dec 18, 2013, USD Millions

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/monetarypolicy/bst_fedsbalancesheet.htm

Chart VI-10 of the Board of Governors of the Federal Reserve System provides the overnight Fed funds rate on business days from Jul 1, 1954 at 1.13 percent through Jan 10, 1979, at 9.91 percent per year, to Dec 26, 2013, at 0.08 percent per year. US recessions are in shaded areas according to the reference dates of the NBER (http://www.nber.org/cycles.html). In the Fed effort to control the “Great Inflation” of the 1930s (see http://cmpassocregulationblog.blogspot.com/2011/05/slowing-growth-global-inflation-great.html http://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html http://cmpassocregulationblog.blogspot.com/2011/03/is-there-second-act-of-us-great.html and Appendix I The Great Inflation; see Taylor 1993, 1997, 1998LB, 1999, 2012FP, 2012Mar27, 2012Mar28, 2012JMCB and http://cmpassocregulationblog.blogspot.com/2012/06/rules-versus-discretionary-authorities.html), the fed funds rate increased from 8.34 percent on Jan 3, 1979 to a high in Chart VI-10 of 22.36 percent per year on Jul 22, 1981 with collateral adverse effects in the form of impaired savings and loans associations in the United States, emerging market debt and money-center banks (see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 72-7; Pelaez 1986, 1987). Another episode in Chart VI-10 is the increase in the fed funds rate from 3.15 percent on Jan 3, 1994, to 6.56 percent on Dec 21, 1994, which also had collateral effects in impairing emerging market debt in Mexico and Argentina and bank balance sheets in a world bust of fixed income markets during pursuit by central banks of non-existing inflation (Pelaez and Pelaez, International Financial Architecture (2005), 113-5). Another interesting policy impulse is the reduction of the fed funds rate from 7.03 percent on Jul 3, 2000, to 1.00 percent on Jun 22, 2004, in pursuit of equally non-existing deflation (Pelaez and Pelaez, International Financial Architecture (2005), 18-28, The Global Recession Risk (2007), 83-85), followed by increments of 25 basis points from Jun 2004 to Jun 2006, raising the fed funds rate to 5.25 percent on Jul 3, 2006 in Chart VI-10. Central bank commitment to maintain the fed funds rate at 1.00 percent induced adjustable-rate mortgages (ARMS) linked to the fed funds rate. Lowering the interest rate near the zero bound in 2003-2004 caused the illusion of permanent increases in wealth or net worth in the balance sheets of borrowers and also of lending institutions, securitized banking and every financial institution and investor in the world. The discipline of calculating risks and returns was seriously impaired. The objective of monetary policy was to encourage borrowing, consumption and investment but the exaggerated stimulus resulted in a financial crisis of major proportions as the securitization that had worked for a long period was shocked with policy-induced excessive risk, imprudent credit, high leverage and low liquidity by the incentive to finance everything overnight at interest rates close to zero, from adjustable rate mortgages (ARMS) to asset-backed commercial paper of structured investment vehicles (SIV).

The consequences of inflating liquidity and net worth of borrowers were a global hunt for yields to protect own investments and money under management from the zero interest rates and unattractive long-term yields of Treasuries and other securities. Monetary policy distorted the calculations of risks and returns by households, business and government by providing central bank cheap money. Short-term zero interest rates encourage financing of everything with short-dated funds, explaining the SIVs created off-balance sheet to issue short-term commercial paper with the objective of purchasing default-prone mortgages that were financed in overnight or short-dated sale and repurchase agreements (Pelaez and Pelaez, Financial Regulation after the Global Recession, 50-1, Regulation of Banks and Finance, 59-60, Globalization and the State Vol. I, 89-92, Globalization and the State Vol. II, 198-9, Government Intervention in Globalization, 62-3, International Financial Architecture, 144-9). ARMS were created to lower monthly mortgage payments by benefitting from lower short-dated reference rates. Financial institutions economized in liquidity that was penalized with near zero interest rates. There was no perception of risk because the monetary authority guaranteed a minimum or floor price of all assets by maintaining low interest rates forever or equivalent to writing an illusory put option on wealth. Subprime mortgages were part of the put on wealth by an illusory put on house prices. The housing subsidy of $221 billion per year created the impression of ever-increasing house prices. The suspension of auctions of 30-year Treasuries was designed to increase demand for mortgage-backed securities, lowering their yield, which was equivalent to lowering the costs of housing finance and refinancing. Fannie and Freddie purchased or guaranteed $1.6 trillion of nonprime mortgages and worked with leverage of 75:1 under Congress-provided charters and lax oversight. The combination of these policies resulted in high risks because of the put option on wealth by near zero interest rates, excessive leverage because of cheap rates, low liquidity because of the penalty in the form of low interest rates and unsound credit decisions because the put option on wealth by monetary policy created the illusion that nothing could ever go wrong, causing the credit/dollar crisis and global recession (Pelaez and Pelaez, Financial Regulation after the Global Recession, 157-66, Regulation of Banks, and Finance, 217-27, International Financial Architecture, 15-18, The Global Recession Risk, 221-5, Globalization and the State Vol. II, 197-213, Government Intervention in Globalization, 182-4). A final episode in Chart VI-10 is the reduction of the fed funds rate from 5.41 percent on Aug 9, 2007, to 2.97 percent on October 7, 2008, to 0.12 percent on Dec 5, 2008 and close to zero throughout a long period with the final point at 0.08 percent on Dec 26, 2013. Evidently, this behavior of policy would not have occurred had there been theory, measurements and forecasts to avoid these violent oscillations that are clearly detrimental to economic growth and prosperity without inflation. Current policy consists of forecast mandate of maintaining policy accommodation until the forecast of the rate of unemployment reaches 6.5 percent and the rate of personal consumption expenditures excluding food and energy reaches 2.5 percent (http://www.federalreserve.gov/newsevents/press/monetary/20121212a.htm). It is a forecast mandate because of the lags in effect of monetary policy impulses on income and prices (Romer and Romer 2004). The intention is to reduce unemployment close to the “natural rate” (Friedman 1968, Phelps 1968) of around 5 percent and inflation at or below 2.0 percent. If forecasts were reasonably accurate, there would not be policy errors. A commonly analyzed risk of zero interest rates is the occurrence of unintended inflation that could precipitate an increase in interest rates similar to the Himalayan rise of the fed funds rate from 9.91 percent on Jan 10, 1979, at the beginning in Chart VI-10, to 22.36 percent on Jul 22, 1981. There is a less commonly analyzed risk of the development of a risk premium on Treasury securities because of the unsustainable Treasury deficit/debt of the United States (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). There is not a fiscal cliff or debt limit issue ahead but rather free fall into a fiscal abyss. The combination of the fiscal abyss with zero interest rates could trigger the risk premium on Treasury debt or Himalayan hike in interest rates.

Chart VI-10, US, Fed Funds Rate, Business Days, Jul 1, 1954 to Dec 26, 2013, Percent per Year

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Chart VI-11 of the Board of Governors of the Federal Reserve System provides the fed funds rate and the prime bank loan rate in business days from Aug 4, 1955 to Dec 26, 2013. The overnight fed funds was 2.0 percent on Aug 4, 1955 and the bank prime rate 3.25 percent. The fed funds overnight rate is the rate charged by a depository institution with idle reserves deposited at a federal reserve bank to exchange its deposits overnight to another depository institution in need of reserves. In a sense, it is the marginal cost of funding for a bank in the United States, or the cost of a unit of additional funding. The fed funds rate is the rate charged by a bank to another bank in an uncollateralized overnight loan. The fed funds rate is the traditional policy rate or rate used to implement policy directives of the Federal Open Market Committee (FOMC). Thus, there should be an association between the fed funds rate or cost of funding of a bank and its prime lending rate. Such an association is verified in Chart VI-11 with the rates moving quite closely over time. On January 10, 1979, the fed funds rate was set at 9.91 percent and banks set their prime lending rate at 11.75 percent. On Dec 16, 2008, the policy determining committee of the Fed decided (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm): “The Federal Open Market Committee decided today to establish a target range for the federal funds rate of 0 to 1/4 percent.” The final segment of Chart VI-11 shows similar movement of the fed funds rate and the prime bank loan rate following the fixing of the fed funds rate to approximately zero. In the final data point of Chart VI-11 on Dec 26, 2013, the fed funds rate is 0.08 percent and the prime rate 3.25 percent.

Chart VI-11, US, Fed Funds Rate and Prime Bank Loan Rate, Business Days, Aug 15, 1955 to Dec 26, 2013, Percent per Year

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Lending has become more complex over time. The critical fact of current world financial markets is the combination of “unconventional” monetary policy with intermittent shocks of financial risk aversion. There are two interrelated unconventional monetary policies. First, unconventional monetary policy consists of (1) reducing short-term policy interest rates toward the “zero bound” such as fixing the fed funds rate at 0 to ¼ percent by decision of the Federal Open Market Committee (FOMC) since Dec 16, 2008 (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm). Second, unconventional monetary policy also includes a battery of measures to also reduce long-term interest rates of government securities and asset-backed securities such as mortgage-backed securities. When inflation is low, the central bank lowers interest rates to stimulate aggregate demand in the economy, which consists of consumption and investment. When inflation is subdued and unemployment high, monetary policy would lower interest rates to stimulate aggregate demand, reducing unemployment. When interest rates decline to zero, unconventional monetary policy would consist of policies such as large-scale purchases of long-term securities to lower their yields. A major portion of credit in the economy is financed with long-term asset-backed securities. Loans for purchasing houses, automobiles and other consumer products are bundled in securities that in turn are sold to investors. Corporations borrow funds for investment by issuing corporate bonds. Loans to small businesses are also financed by bundling them in long-term bonds. Securities markets bridge the needs of higher returns by investors obtaining funds from savers that are channeled to consumers and business for consumption and investment. Lowering the yields of these long-term bonds could lower costs of financing purchases of consumer durables and investment by business. The essential mechanism of transmission from lower interest rates to increases in aggregate demand is portfolio rebalancing. Withdrawal of bonds in a specific maturity segment or directly in a bond category such as currently mortgage-backed securities causes reductions in yield that are equivalent to increases in the prices of the bonds. There can be secondary increases in purchases of those bonds in private portfolios in pursuit of their increasing prices. Lower yields translate into lower costs of buying homes and consumer durables such as automobiles and also lower costs of investment for business.

Monetary policy can lower short-term interest rates quite effectively. Lowering long-term yields is somewhat more difficult. The critical issue is that monetary policy cannot ensure that increasing credit at low interest cost increases consumption and investment. There is a large variety of possible allocation of funds at low interest rates from consumption and investment to multiple risk financial assets. Monetary policy does not control how investors will allocate asset categories. A critical financial practice is to borrow at low short-term interest rates to invest in high-risk, leveraged financial assets. Investors may increase in their portfolios asset categories such as equities, emerging market equities, high-yield bonds, currencies, commodity futures and options and multiple other risk financial assets including structured products. If there is risk appetite, the carry trade from zero interest rates to risk financial assets will consist of short positions at short-term interest rates (or borrowing) and short dollar assets with simultaneous long positions in high-risk, leveraged financial assets such as equities, commodities and high-yield bonds. Low interest rates may induce increases in valuations of risk financial assets that may fluctuate in accordance with perceptions of risk aversion by investors and the public. During periods of muted risk aversion, carry trades from zero interest rates to exposures in risk financial assets cause temporary waves of inflation that may foster instead of preventing financial instability (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html). During periods of risk aversion such as fears of disruption of world financial markets and the global economy resulting from collapse of the European Monetary Union, carry trades are unwound with sharp deterioration of valuations of risk financial assets. More technical discussion is in IA Appendix: Transmission of Unconventional Monetary Policy at http://cmpassocregulationblog.blogspot.com/2012/11/united-states-unsustainable-fiscal.html.

Chart VI-12 of the Board of Governors of the Federal Reserve System provides the fed funds rate, prime bank loan rate and the yield of a corporate bond rated Baa by Moody’s. On Jan 10, 1979, the fed funds rate was fixed at 9.91 percent and banks fixed the prime loan rate at 11.75 percent. Reflecting differences in risk, the fed funds rate was 8.76 percent on Jan 2, 1986, the prime rate 9.50 percent and the Baa Corporate bond yield 11.38 percent. The yield of the Baa corporate bond collapsed toward the bank prime loan rate after the end of extreme risk aversion in the beginning of 2009. The final data point in Chart VI-12 is for Dec 26, 2013, with the fed funds rate at 0.08 percent, the bank prime rate at 3.25 percent and the yield of the Baa corporate bond at 5.37 percent. Empirical tests of the transmission of unconventional monetary policy to actual increases in consumption and investment or aggregate demand find major hurdles (see IA Appendix: Transmission of Unconventional Monetary Policy at http://cmpassocregulationblog.blogspot.com/2012/11/united-states-unsustainable-fiscal.html).

Chart VI-12, US, Fed Funds Rate, Prime Bank Loan Rate and Yield of Moody’s Baa Corporate Bond, Business Days, Aug 4, 1955 to Dec 26, 2013, Percent per Year

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Interest rate risk is increasing in the US. Chart VI-13 of the Board of Governors provides the conventional mortgage rate for a fixed-rate 30-year mortgage. The rate stood at 5.87 percent on Jan 8, 2004, increasing to 6.79 percent on Jul 6, 2006. The rate bottomed at 3.35 percent on May 2, 2013. Fear of duration risk in longer maturities such as mortgage-backed securities caused continuing increases in the conventional mortgage rate that rose to 4.51 percent on Jul 11, 2013, 4.58 percent on Aug 22, 2013 and 4.48 percent on Dec 26, 2013, which is the last data point in Chart VI-13.

Chart VI-13, US, Conventional Mortgage Rate, Jan 8, 2004 to Dec 26, 2013

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

There is a false impression of the existence of a monetary policy “science,” measurements and forecasting with which to steer the economy into “prosperity without inflation.” Market participants are remembering the Great Bond Crash of 1994 shown in Table VI-7G when monetary policy pursued nonexistent inflation, causing trillions of dollars of losses in fixed income worldwide while increasing the fed funds rate from 3 percent in Jan 1994 to 6 percent in Dec. The exercise in Table VI-7G shows a drop of the price of the 30-year bond by 18.1 percent and of the 10-year bond by 14.1 percent. CPI inflation remained almost the same and there is no valid counterfactual that inflation would have been higher without monetary policy tightening because of the long lag in effect of monetary policy on inflation (see Culbertson 1960, 1961, Friedman 1961, Batini and Nelson 2002, Romer and Romer 2004). The pursuit of nonexistent deflation during the past ten years has resulted in the largest monetary policy accommodation in history that created the 2007 financial market crash and global recession and is currently preventing smoother recovery while creating another financial crash in the future. The issue is not whether there should be a central bank and monetary policy but rather whether policy accommodation in doses from zero interest rates to trillions of dollars in the fed balance sheet endangers economic stability.

Table VI-7G, Fed Funds Rates, Thirty and Ten Year Treasury Yields and Prices, 30-Year Mortgage Rates and 12-month CPI Inflation 1994

1994	FF	30Y	30P	10Y	10P	MOR	CPI
Jan	3.00	6.29	100	5.75	100	7.06	2.52
Feb	3.25	6.49	97.37	5.97	98.36	7.15	2.51
Mar	3.50	6.91	92.19	6.48	94.69	7.68	2.51
Apr	3.75	7.27	88.10	6.97	91.32	8.32	2.36
May	4.25	7.41	86.59	7.18	88.93	8.60	2.29
Jun	4.25	7.40	86.69	7.10	90.45	8.40	2.49
Jul	4.25	7.58	84.81	7.30	89.14	8.61	2.77
Aug	4.75	7.49	85.74	7.24	89.53	8.51	2.69
Sep	4.75	7.71	83.49	7.46	88.10	8.64	2.96
Oct	4.75	7.94	81.23	7.74	86.33	8.93	2.61
Nov	5.50	8.08	79.90	7.96	84.96	9.17	2.67
Dec	6.00	7.87	81.91	7.81	85.89	9.20	2.67

Notes: FF: fed funds rate; 30Y: yield of 30-year Treasury; 30P: price of 30-year Treasury assuming coupon equal to 6.29 percent and maturity in exactly 30 years; 10Y: yield of 10-year Treasury; 10P: price of 10-year Treasury assuming coupon equal to 5.75 percent and maturity in exactly 10 years; MOR: 30-year mortgage; CPI: percent change of CPI in 12 months

Sources: yields and mortgage rates http://www.federalreserve.gov/releases/h15/data.htm CPI ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.t

VII Economic Indicators. Crude oil input in refineries increased 1.1 percent to 16,100 thousand barrels per day on average in the four weeks ending on Dec 20, 2013 from 15,930 thousand barrels per day in the four weeks ending on Dec 13, 2013, as shown in Table VII-1. The rate of capacity utilization in refineries continues at a relatively high level of 92.3 percent on Dec 20, 2013, which is higher than 90.7 percent on Dec 21, 2012 and close to 91.5 percent on Dec 13, 2013. Imports of crude oil decreased 0.6 percent from 7,473 thousand barrels per day on average in the four weeks ending on Dec 13 to 7,427 thousand barrels per day in the week of Dec 20. The Energy Information Administration (EIA) informs that “US crude oil imports averaged over 7.5 million barrels per day last week, down by 197 thousand barrels per day from the previous week. Over the last four weeks, crude oil imports averaged 7.5 million barrels per day, 9.7 percent below the same four-week period last year” (http://www.eia.gov/petroleum/supply/weekly/). Marginally increasing utilization in refineries with decreasing imports at the margin in the prior week resulted in decrease of commercial crude oil stocks by 4.7 million barrels from 372.3 million barrels on Dec 13 to 367.6 million barrels on Dec 20. Motor gasoline production increased 0.8 percent to 9,246 thousand barrels per day in the week of Dec 20 from 9,173 thousand barrels per day on average in the week of Dec 13. Gasoline stocks decreased 0.6 million barrels and stocks of fuel oil decreased 1.9 million barrels. Supply of gasoline increased from 8,517 thousand barrels per day on Dec 21, 2012, to 8,853 thousand barrels per day on Dec 20, 2013, or by 3.9 percent, while fuel oil supply increased 1.0 percent. Part of the prior fall in consumption of gasoline had been due to high prices and part to the growth recession. WTI crude oil price traded at $99.11/barrel on Dec 20, 2013, increasing 12.4 percent relative to $88.20/barrel on Dec 21, 2012. Gasoline prices increased 0.4 percent from Dec 24, 2012 to Dec 23, 2013. Increases in prices of crude oil and gasoline relative to a year earlier are moderating because year earlier prices are already reflecting the commodity price surge and commodity prices have been declining recently during worldwide risk aversion. Gasoline prices had been increasing to the highest levels at this time of the year.

Table VII-1, US, Energy Information Administration Weekly Petroleum Status Report

Four Weeks Ending Thousand Barrels/Day	12/20/13	12/13/13	12/21/12
Crude Oil Refineries Input	16,100 Week       ∆%: 1.1	15,930	15,430
Refinery Capacity Utilization %	92.3	91.5	90.7
Motor Gasoline Production	9,246 Week      ∆%: 0.8	9,173	9,135
Distillate Fuel Oil Production	5,100 Week     ∆%: 0.2	5,088	4,848
Crude Oil Imports	7,427 Week       ∆%: -0.6%	7,473	8,246
Motor Gasoline Supplied	8,853 ∆% 2013/2012= 3.9%	8,787	8,517
Distillate Fuel Oil Supplied	3,779 ∆% 2013/2012 = 1.0%	3,742	3,742
	12/20/13	12/13/13	12/21/12
Crude Oil Stocks Million B	367.6 ∆=   -4.7 MB	372.3	371.1
Motor Gasoline Million B	219.9 ∆= -0.6 MB	220.5	223.1
Distillate Fuel Oil Million B	114.1 ∆= -1.9 MB	116.0	119.4
WTI Crude Oil Price $/B	99.11 ∆% 2013/2012 12.4	96.27	88.20
	12/23/13	12/16/13	12/24/12
Regular Motor Gasoline $/G	3.271 ∆% 2013/2012 0.4	3.239	3.257

B: barrels; G: gallon Source: US Energy Information Administration

http://www.eia.gov/petroleum/supply/weekly/

Chart VII-1 of the US Energy Information Administration shows commercial stocks of crude oil of the US. There have been fluctuations around an upward trend since 2005. Crude oil stocks trended downwardly during a few weeks but with fluctuations followed by several sharp weekly increases alternating with declines.

Chart VII-1, US, Weekly Crude Oil Ending Stocks

Source: US Energy Information Administration

http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=WCESTUS1&f=W

Chart VII-2 of the US Energy Information Administration shows crude oil stocks of the US. There have been fluctuations around shifting trends since 2005. Crude oil stocks trended downwardly during a few weeks but with fluctuations followed by several sharp weekly increases alternating with declines. There is new downward trend in 2013.

Chart VII-2, US, Distillate Crude Oil Stocks

Source: US Energy Information Administration

http://www.eia.gov/petroleum/

Chart VII-3 of the US Energy Information Administration provides prices of the crude oil futures contract. Unconventional monetary policy of very low interest rates and quantitative easing with suspension of the 30-year bond to lower mortgage rates caused sharp upward trend of oil prices. There is no explanation for the jump of oil prices to $149/barrel in 2008 during a sharp global recession other than carry trades from zero interest rates to commodity futures. The peak in Chart VII-3 is $145.18/barrel on Jul 14, 2008 in the midst of deep global recession, falling to
$33.87/barrel on Dec 19, 2008 (data from US Energy Information Administration http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=RCLC1&f=D). Prices collapsed in the flight to government obligations caused by proposals for withdrawing “toxic assets” in the Troubled Asset Relief Program (TARP), as analyzed by Cochrane and Zingales (2009). Risk appetite with zero interest rates after stress tests of US banks resulted in another upward trend of commodity prices after 2009 with fluctuations during period of risk aversion.

Chart VII-3, US, Crude Oil Futures Contract

Source: US Energy Information Administration

http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=RCLC1&f=D

There is typically significant difference between initial claims for unemployment insurance adjusted and not adjusted for seasonality provided in Table VII-2. Seasonally adjusted claims decreased 42,000 from 380,000 on Dec 14, 2013, to 338,000 on Dec 21, 2013. Claims not adjusted for seasonality decreased 159 from 414,079 on Dec 14, 2013 to 413,920 on Dec 21, 2013.

Table VII-2, US, Initial Claims for Unemployment Insurance

	SA	NSA	4-week MA SA
Dec 21, 2013	338,000	413,920	348,000
Dec 14, 2013	380,000	414,079	343,750
Change	-42,000	-159	+4,250
Dec 7, 2013	369,000	462,198	330,250
Prior Year	366,000	457,578	364,000

Note: SA: seasonally adjusted; NSA: not seasonally adjusted; MA: moving average

Source: http://www.dol.gov/opa/media/press/eta/ui/current.htm#.UO83JeRZWwb

Table VII-3 provides seasonally and not seasonally adjusted claims in the comparable week for the years from 2001 to 2013. Data for earlier years are less comparable because of population and labor force growth. Seasonally adjusted claims typically are lower than claims not adjusted for seasonality. Claims not seasonally adjusted decreased from 571,378 on Dec 19, 2009 to 497,689 on Dec 24, 2011, 457,578 on Nov Dec 22, 2012 and 413,920 on Dec 21, 2013. There is strong indication of significant decline in the level of layoffs in the US. Hiring has not recovered (http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html) and there is continuing unemployment and underemployment of 28.1 million or 17.2 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html).

Table VII-3, US, Unemployment Insurance Weekly Claims

	Not Seasonally Adjusted Claims	Seasonally Adjusted Claims
Dec 22, 2001	529,570	416,000
Dec 21, 2002	483,449	394,000
Dec 27, 2003	516,493	349,000
Dec 25, 2004	446,699	320,000
Dec 24, 2005	433,397	320,000
Dec 23, 2006	425,357	323,000
Dec 22, 2007	456,280	355,000
Dec 20, 2008	719,691	587,000
Dec 19, 2009	571,378	481,000
Dec 25, 2010	525,710	406,000
Dec 24, 2011	497,689	387,000
Dec 22, 2012	457,578	366,000
Dec 21, 2013	413,920	348,000

Source: http://www.ows.doleta.gov/unemploy/claims.asp

VIII Interest Rates. It is quite difficult to measure inflationary expectations because they tend to break abruptly from past inflation. There could still be an influence of past and current inflation in the calculation of future inflation by economic agents. Table VIII-1 provides inflation of the CPI. In the three months Sep to Nov 2013, CPI inflation for all items seasonally adjusted was 0.4 percent in annual equivalent, obtained by compounding inflation from Sep 2013 to Nov 2013 and assuming it would be repeated for a full year. In the 12 months ending in Nov 2013, CPI inflation of all items not seasonally adjusted was 1.2 percent. Inflation in Nov 2013 seasonally adjusted was 0.0 percent relative to Oct 2013, or 0.0 percent annual equivalent (http://www.bls.gov/cpi/). The second row provides the same measurements for the CPI of all items excluding food and energy: 1.7 percent in 12 months and 1.6 percent in annual equivalent Sep-Nov 2013. The Wall Street Journal provides the yield curve of US Treasury securities (http://professional.wsj.com/mdc/public/page/mdc_bonds.html?mod=mdc_topnav_2_3000). The shortest term is 0.003 percent for one month, 0.066 percent for three months, 0.084 percent for six months, 0.122 percent for one year, 0.399 percent for two years, 0.778 percent for three years, 1.743 percent for five years, 2.440 percent for seven years, 3.005 percent for ten years and 3.938 percent for 30 years. The Irving Fisher (1930) definition of real interest rates is approximately the difference between nominal interest rates, which are those estimated by the Wall Street Journal, and the rate of inflation expected in the term of the security, which could behave as in Table VIII-1. Inflation in Sep is low in 12 months because of the unwinding of carry trades from zero interest rates to commodity futures prices but could ignite again with subdued risk aversion. Real interest rates in the US have been negative during substantial periods in the past decade while monetary policy pursues a policy of attaining its “dual mandate” of (http://www.federalreserve.gov/aboutthefed/mission.htm):

“Conducting the nation's monetary policy by influencing the monetary and credit conditions in the economy in pursuit of maximum employment, stable prices, and moderate long-term interest rates”

Negative real rates of interest distort calculations of risk and returns from capital budgeting by firms, through lending by financial intermediaries to decisions on savings, housing and purchases of households. Inflation on near zero interest rates misallocates resources away from their most productive uses and creates uncertainty of the future path of adjustment to higher interest rates that inhibit sound decisions.

Professionals use a variety of techniques in measuring interest rate risk (Fabozzi, Buestow and Johnson, 2006, Chapter Nine, 183-226):

• Full valuation approach in which securities and portfolios are shocked by 50, 100, 200 and 300 basis points to measure their impact on asset values
• Stress tests requiring more complex analysis and translation of possible events with high impact even if with low probability of occurrence into effects on actual positions and capital
• Value at Risk (VaR) analysis of maximum losses that are likely in a time horizon
• Duration and convexity that are short-hand convenient measurement of changes in prices resulting from changes in yield captured by duration and convexity
• Yield volatility

Analysis of these methods is in Pelaez and Pelaez (International Financial Architecture (2005), 101-162) and Pelaez and Pelaez, Globalization and the State, Vol. (I) (2008a), 78-100). Frederick R. Macaulay (1938) introduced the concept of duration in contrast with maturity for analyzing bonds. Duration is the sensitivity of bond prices to changes in yields. In economic jargon, duration is the yield elasticity of bond price to changes in yield, or the percentage change in price after a percentage change in yield, typically expressed as the change in price resulting from change of 100 basis points in yield. The mathematical formula is the negative of the yield elasticity of the bond price or –[dB/d(1+y)]((1+y)/B), where d is the derivative operator of calculus, B the bond price, y the yield and the elasticity does not have dimension (Hallerbach 2001). The duration trap of unconventional monetary policy is that duration is higher the lower the coupon and higher the lower the yield, other things being constant. Coupons and yields are historically low because of unconventional monetary policy. Duration dumping during a rate increase may trigger the same crossfire selling of high duration positions that magnified the credit crisis. Traders reduced positions because capital losses in one segment, such as mortgage-backed securities, triggered haircuts and margin increases that reduced capital available for positioning in all segments, causing fire sales in multiple segments (Brunnermeier and Pedersen 2009; see Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 217-24). Financial markets are currently experiencing fear of duration resulting from the debate within and outside the Fed on tapering quantitative easing. Table VIII-2 provides the yield curve of Treasury securities on Dec 27, 2013, Sep 5, 2013, May 1, 2013, Dec 27, 2012 and Dec 27, 2006. There is ongoing steepening of the yield curve for longer maturities, which are also the ones with highest duration. The 10-year yield increased from 1.45 percent on Jul 26, 2012 to 2.98 percent on Sep 5, 2013 and 3.02 percent on Dec 27, 2013, as measured by the United States Treasury. Assume that a bond with maturity in 10 years were issued on Sep 5, 2013 at par or price of 100 with coupon of 1.45 percent. The price of that bond would be 86.5359 with instantaneous increase of the yield to 3.02 percent for loss of 13.5 percent and far more with leverage. Assume that the yield of a bond with exactly ten years to maturity and coupon of 3.02 percent as occurred on Dec 20, 2013 would jump instantaneously from yield of 3.02 percent on Dec 27, 2013 to 4.66 percent as occurred on Dec 27, 2006 when the economy was closer to full employment. The price of the hypothetical bond issued with coupon of 3.02 percent would drop from 100 to 87.0092 after an instantaneous increase of the yield to 4.60 percent. The price loss would be 13.0 percent. Losses absorb capital available for positioning, triggering crossfire sales in multiple asset classes (Brunnermeier and Pedersen 2009). What is the path of adjustment of zero interest rates on fed funds and artificially low bond yields? There is no painless exit from unconventional monetary policy. Chris Dieterich, writing on “Bond investors turn to cash,” on Jul 25, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323971204578625900935618178.html), uses data of the Investment Company Institute (http://www.ici.org/) in showing withdrawals of $43 billion in taxable mutual funds in Jun, which is the largest in history, with flows into cash investments such as $8.5 billion in the week of Jul 17 into money-market funds.

Table VIII-2, United States, Treasury Yields

	12/27/13	9/05/13	5/01/13	12/27/12	12/27/06
1 M	0.01	0.03	0.03	0.01	4.75
3 M	0.07	0.02	0.06	0.08	4.97
6 M	0.09	0.06	0.08	0.12	5.10
1 Y	0.12	0.16	0.11	0.15	4.99
2 Y	0.40	0.52	0.20	0.26	4.77
3 Y	0.79	0.97	0.30	0.37	4.69
5 Y	1.74	1.85	0.65	0.72	4.64
7 Y	2.44	2.45	1.07	1.15	4.64
10 Y	3.02	2.98	1.66	1.74	4.66
20 Y	3.70	3.64	2.44	2.48	4.87
30 Y	3.94	3.88	2.83	2.89	4.78

Source: United States Treasury

http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield

Chart VIII-1 of the Board of Governors of the Federal Reserve System provides the rate on the overnight fed funds rate and the yields of the 10-year constant maturity Treasury and the Baa seasoned corporate bond. Table VIII-3 provides the data for selected points in Chart VIII-1. There are two important economic and financial events, illustrating the ease of inducing carry trade with extremely low interest rates and the resulting financial crash and recession of abandoning extremely low interest rates.

• The Federal Open Market Committee (FOMC) lowered the target of the fed funds rate from 7.03 percent on Jul 3, 2000, to 1.00 percent on Jun 22, 2004, in pursuit of non-existing deflation (Pelaez and Pelaez, International Financial Architecture (2005), 18-28, The Global Recession Risk (2007), 83-85). Central bank commitment to maintain the fed funds rate at 1.00 percent induced adjustable-rate mortgages (ARMS) linked to the fed funds rate. Lowering the interest rate near the zero bound in 2003-2004 caused the illusion of permanent increases in wealth or net worth in the balance sheets of borrowers and also of lending institutions, securitized banking and every financial institution and investor in the world. The discipline of calculating risks and returns was seriously impaired. The objective of monetary policy was to encourage borrowing, consumption and investment. The exaggerated stimulus resulted in a financial crisis of major proportions as the securitization that had worked for a long period was shocked with policy-induced excessive risk, imprudent credit, high leverage and low liquidity by the incentive to finance everything overnight at interest rates close to zero, from adjustable rate mortgages (ARMS) to asset-backed commercial paper of structured investment vehicles (SIV). The consequences of inflating liquidity and net worth of borrowers were a global hunt for yields to protect own investments and money under management from the zero interest rates and unattractive long-term yields of Treasuries and other securities. Monetary policy distorted the calculations of risks and returns by households, business and government by providing central bank cheap money. Short-term zero interest rates encourage financing of everything with short-dated funds, explaining the SIVs created off-balance sheet to issue short-term commercial paper with the objective of purchasing default-prone mortgages that were financed in overnight or short-dated sale and repurchase agreements (Pelaez and Pelaez, Financial Regulation after the Global Recession, 50-1, Regulation of Banks and Finance, 59-60, Globalization and the State Vol. I, 89-92, Globalization and the State Vol. II, 198-9, Government Intervention in Globalization, 62-3, International Financial Architecture, 144-9). ARMS were created to lower monthly mortgage payments by benefitting from lower short-dated reference rates. Financial institutions economized in liquidity that was penalized with near zero interest rates. There was no perception of risk because the monetary authority guaranteed a minimum or floor price of all assets by maintaining low interest rates forever or equivalent to writing an illusory put option on wealth. Subprime mortgages were part of the put on wealth by an illusory put on house prices. The housing subsidy of $221 billion per year created the impression of ever-increasing house prices. The suspension of auctions of 30-year Treasuries was designed to increase demand for mortgage-backed securities, lowering their yield, which was equivalent to lowering the costs of housing finance and refinancing. Fannie and Freddie purchased or guaranteed $1.6 trillion of nonprime mortgages and worked with leverage of 75:1 under Congress-provided charters and lax oversight. The combination of these policies resulted in high risks because of the put option on wealth by near zero interest rates, excessive leverage because of cheap rates, low liquidity because of the penalty in the form of low interest rates and unsound credit decisions because the put option on wealth by monetary policy created the illusion that nothing could ever go wrong, causing the credit/dollar crisis and global recession (Pelaez and Pelaez, Financial Regulation after the Global Recession, 157-66, Regulation of Banks, and Finance, 217-27, International Financial Architecture, 15-18, The Global Recession Risk, 221-5, Globalization and the State Vol. II, 197-213, Government Intervention in Globalization, 182-4). The FOMC implemented increments of 25 basis points of the fed funds target from Jun 2004 to Jun 2006, raising the fed funds rate to 5.25 percent on Jul 3, 2006, as shown in Chart VIII-1. The gradual exit from the first round of unconventional monetary policy from 1.00 percent in Jun 2004 to 5.25 percent in Jun 2006 caused the financial crisis and global recession.
• On Dec 16, 2008, the policy determining committee of the Fed decided (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm): “The Federal Open Market Committee decided today to establish a target range for the federal funds rate of 0 to 1/4 percent.” Policymakers emphasize frequently that there are tools to exit unconventional monetary policy at the right time. At the confirmation hearing on nomination for Chair of the Board of Governors of the Federal Reserve System, Vice Chair Yellen (2013Nov14 http://www.federalreserve.gov/newsevents/testimony/yellen20131114a.htm), states that: “The Federal Reserve is using its monetary policy tools to promote a more robust recovery. A strong recovery will ultimately enable the Fed to reduce its monetary accommodation and reliance on unconventional policy tools such as asset purchases. I believe that supporting the recovery today is the surest path to returning to a more normal approach to monetary policy.” Perception of withdrawal of $2451 billion, or $2.5 trillion bank reserves (http://www.federalreserve.gov/releases/h41/current/h41.htm#h41tab1), would cause Himalayan increase in interest rates that would provoke another recession. There is no painless gradual or sudden exit from zero interest rates because reversal of exposures created on the commitment of zero interest rates forever.

In his classic restatement of the Keynesian demand function in terms of “liquidity preference as behavior toward risk,” James Tobin (http://www.nobelprize.org/nobel_prizes/economic-sciences/laureates/1981/tobin-bio.html) identifies the risks of low interest rates in terms of portfolio allocation (Tobin 1958, 86):

“The assumption that investors expect on balance no change in the rate of interest has been adopted for the theoretical reasons explained in section 2.6 rather than for reasons of realism. Clearly investors do form expectations of changes in interest rates and differ from each other in their expectations. For the purposes of dynamic theory and of analysis of specific market situations, the theories of sections 2 and 3 are complementary rather than competitive. The formal apparatus of section 3 will serve just as well for a non-zero expected capital gain or loss as for a zero expected value of g. Stickiness of interest rate expectations would mean that the expected value of g is a function of the rate of interest r, going down when r goes down and rising when r goes up. In addition to the rotation of the opportunity locus due to a change in r itself, there would be a further rotation in the same direction due to the accompanying change in the expected capital gain or loss. At low interest rates expectation of capital loss may push the opportunity locus into the negative quadrant, so that the optimal position is clearly no consols, all cash. At the other extreme, expectation of capital gain at high interest rates would increase sharply the slope of the opportunity locus and the frequency of no cash, all consols positions, like that of Figure 3.3. The stickier the investor's expectations, the more sensitive his demand for cash will be to changes in the rate of interest (emphasis added).”

Tobin (1969) provides more elegant, complete analysis of portfolio allocation in a general equilibrium model. The major point is equally clear in a portfolio consisting of only cash balances and a perpetuity or consol. Let g be the capital gain, r the rate of interest on the consol and r^e the expected rate of interest. The rates are expressed as proportions. The price of the consol is the inverse of the interest rate, (1+r^e). Thus, g = [(r/r^e) – 1]. The critical analysis of Tobin is that at extremely low interest rates there is only expectation of interest rate increases, that is, dr^e>0, such that there is expectation of capital losses on the consol, dg<0. Investors move into positions combining only cash and no consols. Valuations of risk financial assets would collapse in reversal of long positions in carry trades with short exposures in a flight to cash. There is no exit from a central bank created liquidity trap without risks of financial crash and another global recession. The net worth of the economy depends on interest rates. In theory, “income is generally defined as the amount a consumer unit could consume (or believe that it could) while maintaining its wealth intact” (Friedman 1957, 10). Income, Y, is a flow that is obtained by applying a rate of return, r, to a stock of wealth, W, or Y = rW (Ibid). According to a subsequent statement: “The basic idea is simply that individuals live for many years and that therefore the appropriate constraint for consumption is the long-run expected yield from wealth r*W. This yield was named permanent income: Y* = r*W” (Darby 1974, 229), where * denotes permanent. The simplified relation of income and wealth can be restated as:

W = Y/r (10)

Equation (1) shows that as r goes to zero, r→0, W grows without bound, W→∞. Unconventional monetary policy lowers interest rates to increase the present value of cash flows derived from projects of firms, creating the impression of long-term increase in net worth. An attempt to reverse unconventional monetary policy necessarily causes increases in interest rates, creating the opposite perception of declining net worth. As r→∞, W = Y/r →0. There is no exit from unconventional monetary policy without increasing interest rates with resulting pain of financial crisis and adverse effects on production, investment and employment.

Chart VIII-1, Fed Funds Rate and Yields of Ten-year Treasury Constant Maturity and Baa Seasoned Corporate Bond, Jan 2, 2001 to Dec 26, 2013 

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/

Table VIII-3, Selected Data Points in Chart VIII-1, % per Year

	Fed Funds Overnight Rate	10-Year Treasury Constant Maturity	Seasoned Baa Corporate Bond
1/2/2001	6.67	4.92	7.91
10/1/2002	1.85	3.72	7.46
7/3/2003	0.96	3.67	6.39
6/22/2004	1.00	4.72	6.77
6/28/2006	5.06	5.25	6.94
9/17/2008	2.80	3.41	7.25
10/26/2008	0.09	2.16	8.00
10/31/2008	0.22	4.01	9.54
4/6/2009	0.14	2.95	8.63
4/5/2010	0.20	4.01	6.44
2/4/2011	0.17	3.68	6.25
7/25/2012	0.15	1.43	4.73
5/1/13	0.14	1.66	4.48
9/5/13	0.08	2.98	5.53
11/21/2013	0.09	2.79	5.44
11/27/13	0.09	2.74	5.34 (11/26/13)
12/6/13	0.09	2.88	5.47
12/12/13	0.09	2.89	5.42
12/19/13	0.09	2.94	5.36
12/26/13	0.08	3.00	5.37

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/

IX Conclusion. Lucas (2011May) estimates US economic growth in the long-term at 3 percent per year and about 2 percent per year in per capita terms. There are displacements from this trend caused by events such as wars and recessions but the economy then returns to trend. Historical US GDP data exhibit remarkable growth: Lucas (2011May) estimates an increase of US real income per person by a factor of 12 in the period from 1870 to 2010. The explanation by Lucas (2011May) of this remarkable growth experience is that government provided stability and education while elements of “free-market capitalism” were an important driver of long-term growth and prosperity. Lucas sharpens this analysis by comparison with the long-term growth experience of G7 countries (US, UK, France, Germany, Canada, Italy and Japan) and Spain from 1870 to 2010. Countries benefitted from “common civilization” and “technology” to “catch up” with the early growth leaders of the US and UK, eventually growing at a faster rate. Significant part of this catch up occurred after World War II. Lucas (2011May) finds that the catch up stalled in the 1970s. The analysis of Lucas (2011May) is that the 20-40 percent gap that developed originated in differences in relative taxation and regulation that discouraged savings and work incentives in comparison with the US. A larger welfare and regulatory state, according to Lucas (2011May), could be the cause of the 20-40 percent gap. Cobet and Wilson (2002) provide estimates of output per hour and unit labor costs in national currency and US dollars for the US, Japan and Germany from 1950 to 2000 (see Pelaez and Pelaez, The Global Recession Risk (2007), 137-44). The average yearly rate of productivity change from 1950 to 2000 was 2.9 percent in the US, 6.3 percent for Japan and 4.7 percent for Germany while unit labor costs in USD increased at 2.6 percent in the US, 4.7 percent in Japan and 4.3 percent in Germany. From 1995 to 2000, output per hour increased at the average yearly rate of 4.6 percent in the US, 3.9 percent in Japan and 2.6 percent in Germany while unit labor costs in USD fell at minus 0.7 percent in the US, 4.3 percent in Japan and 7.5 percent in Germany. There was increase in productivity growth in Japan and France within the G7 in the second half of the 1990s but significantly lower than the acceleration of 1.3 percentage points per year in the US. The key indicator of growth of real income per capita or what is earned per person after inflation, measures long-term economic growth and prosperity. A refined concept would include real disposable income per capita, which is what a person earns after inflation and taxes.

Table IX-1 provides the data required for broader comparison of long-term and cyclical performance of the United States economy. Revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) provide important information on long-term growth and cyclical behavior. First, Long-term performance. Using annual data, US GDP grew at the average rate of 3.3 percent per year from 1929 to 2012 and at 3.2 percent per year from 1947 to 2012. Real disposable income grew at the average yearly rate of 3.2 percent from 1929 to 2012 and at 3.7 percent from 1947 to 1999. Real disposable income per capita grew at the average yearly rate of 2.0 percent from 1929 to 2012 and at 2.3 percent from 1947 to 1999. US economic growth was much faster during expansions, compensating for the contraction in maintaining trend growth for whole cycles. Using annual data, US real disposable income grew at the average yearly rate of 3.5 percent from 1980 to 1989 and real disposable income per capita at 2.6 percent. The US economy has lost its dynamism in the current cycle: real disposable income grew at the yearly average rate of 1.4 percent from 2006 to 2012 and real disposable income per capita at 0.6 percent. Table IX-1 illustrates the contradiction of long-term growth with the proposition of secular stagnation (Hansen 1938, 1938, 1941 with early critique by Simons (1942). Secular stagnation would occur over long periods. Table IX-1 also provides the corresponding rates of population growth that is only marginally lower at 0.8 to 0.9 percent recently from 1.1 percent over the long-term. GDP growth fell abruptly from 2.6 percent on average from 2000 to 2006 to 0.9 percent from 2006 to 2012 and real disposable income growth fell from 2.9 percent from 2000 to 2006 to 1.4 percent from 2006 to 2012. The decline of real per capita disposable income is even sharper from average 2.0 percent from 2000 to 2006 to 0.6 percent from 2006 to 2012 while population growth was 0.8 percent on average. Lazear and Spletzer (2012JHJul122) provides theory and measurements showing that cyclic factors explain currently depressed labor markets. This is also the case of the overall economy. Second, first four quarters of expansion. Growth in the first four quarters of expansion is critical in recovering loss of output and employment occurring during the contraction. In the first four quarters of expansion from IQ1983 to IVQ1983: GDP increased 7.8 percent, real disposable personal income 5.3 percent and real disposable income per capita 4.4 percent. In the first four quarters of expansion from IIIQ2009 to IIQ2010: GDP increased 2.7 percent, real disposable personal income 1.4 percent and real disposable income per capita decreased 0.5 percent. Third, first 17 quarters of expansion. In the expansion from IQ1983 to IQ1987: GDP grew 23.1 percent at the annual equivalent rate of 5.0 percent; real disposable income grew 19.5 percent at the annual equivalent rate of 4.3 percent; and real disposable income per capita grew 15.1 percent at the annual equivalent rate of 3.4 percent. In the expansion from IIIQ2009 to IIIQ2013: GDP grew 10.3 percent at the annual equivalent rate of 2.3 percent; real disposable income grew 6.3 percent at the annual equivalent rate of 1.4 percent; and real disposable personal income per capita grew 2.9 percent at the annual equivalent rate of 0.7 percent. Fourth, entire quarterly cycle. In the entire cycle combining contraction and expansion from IQ1980 to IQ1987: GDP grew 22.9 percent at the annual equivalent rate of 2.8 percent; real disposable personal income 2.4 percent at the annual equivalent rate of 3.2 percent; and real disposable personal income per capita 18.1 percent at the annual equivalent rate of 2.2 percent. In the entire cycle combining contraction and expansion from IVQ2007 to IIIQ2013: GDP grew 5.6 percent at the annual equivalent rate of 0.9 percent; real disposable personal income 7.9 percent at the annual equivalent rate of 1.3 percent; and real disposable personal income per capita 3.1 percent at the annual equivalent rate of 0.5 percent. The United States grew during its history at high rates of per capita income that made its economy the largest in the world. That dynamism is disappearing. Bordo (2012 Sep27) and Bordo and Haubrich (2012DR) provide strong evidence that recoveries have been faster after deeper recessions and recessions with financial crises, casting serious doubts on the conventional explanation of weak growth during the current expansion allegedly because of the depth of the contraction of 4.3 percent from IVQ2007 to IIQ2009 and the financial crisis. The proposition of secular stagnation should explain a long-term process of decay and not the actual abrupt collapse of the economy and labor markets currently.

Table IX-1, US, GDP, Real Disposable Personal Income, Real Disposable Income per Capita and Population in 1983-85 and 2007-2013, %

Long-term Average ∆% per Year	GDP	Population
1929-2012	3.3	1.1
1947-2012	3.2	1.2
1947-1999	3.6	1.3
2000-2012	1.7	0.9
2000-2006	2.6	0.9
Long-term Average ∆% per Year	Real Disposable Income	Real Disposable Income per Capita	Population
1929-2012	3.2	2.0	1.1
1947-1999	3.7	2.3	1.3
2000-2012	2.2	1.3	0.9
2000-2006	2.9	2.0	0.9
Whole Cycles Average ∆% per Year
1980-1989	3.5	2.6	0.9
2006-2012	1.4	0.6	0.8
Comparison of Cycles	# Quarters	∆%	∆% Annual Equivalent
GDP
I83 to IV83 IQ83 to IQ87	4 17
I83 to IV83 I83 to IQ87	4 17	7.8 23.1	7.8 5.0
RDPI
I83 to IV83 I83 to I87	4 17	5.3 19.5	5.3 4.3
RDPI Per Capita
I83 to IV83 I83 to I87	4 17	4.4 15.1	4.4 3.4
Whole Cycle IQ1980 to IQ1987
GDP	30	22.9	2.8
RDPI	30	26.4	3.2
RDPI per Capita	30	18.1	2.2
Population	30	7.0	0.9
GDP
III09 to II10 III09 to III13	4 17	2.7 10.3	2.7 2.3
RDPI
III09 to II10 III09 to III13	4 17	0.3 6.3	0.3 1.4
RDPI per Capita
III09 to II10 II09 to IIIQ13	4 17	-0.5 2.9	-0.5 0.7
Population
II09 to II010 II09 to III13	4 17	0.9 3.2	0.8 0.8
IVQ2007 to IIIQ2013	23
GDP	24	5.6	0.9
RDPI	24	7.9	1.3
RDPI per Capita	24	3.1	0.5
Population	24	4.6	0.8

RDPI: Real Disposable Personal Income

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm

There are seven basic facts illustrating the current economic disaster of the United States:

• GDP maintained trend growth in the entire business cycle from IQ1980 to IQ1987 and I, including contractions and expansions. GDP is well below trend in the entire business cycle from IVQ2007, including contractions and expansions
• Per capita real disposable income exceeded trend growth in the 1980s but is substantially below trend in IIIQ2013
• Level of employed persons increased in the 1980s but declined into IIIQ2013
• Level of full-time employed persons increased in the 1980s but declined into IIIQ2013
• Level unemployed, unemployment rate and employed part-time for economic reasons fell in the recovery from the recessions in the 1980s but not substantially in the recovery since IIIQ2009
• Wealth of households and nonprofit organizations soared in the 1980s but stagnated in real terms into IIIQ2013
• Gross private domestic investment increased sharply from IQ1980 to IQ1987 but gross private domestic investment stagnated and private fixed investment fell from IVQ2007 into IIIQ2013

There is a critical issue of the United States economy will be able in the future to attain again the level of activity and prosperity of projected trend growth. Growth at trend during the entire business cycles built the largest economy in the world but there may be an adverse, permanent weakness in United States economic performance and prosperity. Table IX-2 provides data for analysis of these seven basic facts. The seven blocks of Table IX-2 are separated initially after individual discussion of each one followed by the full Table IX-2.

1. Trend Growth.

i. As shown in Table IX-2, actual GDP grew cumulatively 22.5 percent from IQ1980 to IQ1987, which is relatively close to what trend growth would have been at 24.8 percent. Real GDP grew 22.9 percent from IVQ1979 to IQ1987. Rapid growth at the average annual rate of 5.0 percent annual per quarter during the expansion from IQ1983 to IQ1987 erased the loss of GDP of 4.6 percent during the contraction and maintained trend growth at 2.8 percent for GDP and 3.2 percent for real disposable personal income over the entire cycle.

ii. In contrast, cumulative growth from IVQ2007 to IIIQ2013 was 3.1 percent while trend growth would have been 19.4 percent. GDP in IIIQ2013 at seasonally adjusted annual rate is $15,839.3 billion as estimated by the Bureau of Economic Analysis (BEA) (http://www.bea.gov/iTable/index_nipa.cfm) and would have been $17,905.3 billion, or $2066.0 billion higher, had the economy grown at trend over the entire business cycle as it happened during the 1980s and throughout most of US history. There is $2.1 trillion of foregone GDP that the economy would have created as it occurred during past cyclical expansions, which explains why employment net of population growth has not rebounded to even higher than before. There would not be recovery of full employment even with growth of 3 percent per year beginning immediately because the opportunity was lost to grow faster during the expansion from IIIQ2009 to IIIQ2013 after the recession from IVQ2007 to IIQ2009. The United States has acquired a heavy social burden of unemployment and underemployment of 28.1 million people or 17.2 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html) that will not be significantly diminished even with return to growth of GDP of 3 percent per year because of growth of the labor force by new entrants. The US labor force grew from 142.583 million in 2000 to 153.124 million in 2007 or by 7.4 percent at the average yearly rate of 1.0 percent per year. The civilian noninstitutional population or those able to work, increased from 212.577 million in 2000 to 231.867 million in 2007 or 9.1 percent at the average yearly rate of 1.2 percent per year (data from http://www.bls.gov/data/). Data for the past five years cloud accuracy because of the number of people discouraged from seeking employment. The noninstitutional population of the United States increased from 231.867 million in 2007 to 243.284 million in 2012 or by 4.9 percent. In the same period, the labor force increased from 153.124 million in 2007 to 154.975 million in 2012 or by 1.2 percent and only by 0.9 percent to 153.617 million in 2011 while population increased 3.3 percent from 231.867 million in 2007 to 239.618 million in 2011 (data from http://www.bls.gov/data/). People ceased to seek jobs because they do not believe that there is a job available for them (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html). Structural change in demography occurs over relatively long periods and not suddenly as shown by Edward P. Lazear and James R. Spletzer (2012JHJul22). There is an abrupt cyclical event and no evidence for secular stagnation and similar propositions.

Period IQ1980 to IQ1987
GDP SAAR USD Billions
IQ1980	6,517.9
IQ1987	7,986.4
∆% IQ1980 to IQ1987 (22.9 percent from IVQ1979 $6496.8 billion)	22.5
∆% Trend Growth IQ1980 to IQ1987	24.8

Period IVQ2007 to IIIQ2013
GDP SAAR USD Billions
IVQ2007	14,996.1
IIIQ2013	15,839.3
∆% IVQ2007 to IIIQ2013 Actual	5.6
∆% IVQ2007 to IIIQ2013 Trend	19.4

2. Stagnating Per Capita Real Disposable Income

i. In the entire business cycle from IQ1980 to IQ1987, as shown in Table IX-2, trend growth of per capita real disposable income, or what is left per person after inflation and taxes, grew cumulatively 18.0 percent, which is close to what would have been trend growth of 16.0 percent.

ii. In contrast, in the entire business cycle from IVQ2007 to IIIQ2013, per capita real disposable income increased 3.1 percent while trend growth would have been 12.6 percent. Income available after inflation and taxes is about the same or lower as before the contraction after 17 consecutive quarters of GDP growth at mediocre rates relative to those prevailing during historical cyclical expansions. In IIQ2013, personal income grew at the SAAR of 4.7 percent after falling at 4.1 percent in IQ2013. In IIQ2013, real personal income excluding current transfer receipts grew at 5.6 percent after falling at 7.2 percent in IQ2013. In IIQ2013, real disposable personal income grew at 4.1 percent after falling at minus 7.9 percent in IQ2013 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1113.pdf). The BEA explains as follows (page 3 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December in anticipation of changes in individual tax rates.”

Nominal personal income grew at 4.0 percent in IIIQ2013 and real personal income excluding current transfer receipts at 2.0 percent while real disposable income grew at 3.0 percent (http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi1113.pdf).

Period IQ1980 to IQ1987

Real Disposable Personal Income per Capita IQ1980 Chained 2009 USD	20,242
Real Disposable Personal Income per Capita IQ1987 Chained 2009 USD	23,891
∆% IQ1980 to IQ1987 (18.1 percent from IVQ1982 $20,230)	18.0
∆% Trend Growth	16.0

Period IVQ2007 to IIIQ2013

Real Disposable Personal Income per Capita IVQ2007 Chained 2009 USD	35,823
Real Disposable Personal Income per Capita IIIQ2013 Chained 2009 USD	36,943
∆% IVQ2007 to IIIQ2013	3.1
∆% Trend Growth	12.6

3. Number of Employed Persons

i. As shown in Table IX-2, the number of employed persons increased over the entire business cycle from 98.527 million not seasonally adjusted (NSA) in IQ1980 to 110.229 million NSA in IQ1987 or by 11.9 percent.

ii. In contrast, during the entire business cycle the number employed fell from 146.334 million in IVQ2007 to 144,651 million in IIIQ2013 or by 1.2 percent. There are 28.1 million persons unemployed or underemployed, which is 17.2 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html).

Period IQ1980 to IQ1987

Employed Millions IQ1980 NSA End of Quarter	98.527
Employed Millions IQ1987 NSA End of Quarter	110.229
∆% Employed IQ1980 to IQ1987	11.9

Period IVQ2007 to IIIQ2013

Employed Millions IVQ2007 NSA End of Quarter	146.334
Employed Millions IIIQ2013 NSA End of Quarter	144.651
∆% Employed IVQ2007 to IIIQ2013	-1.2

4. Number of Full-Time Employed Persons

i. As shown in Table IX-2, during the entire business cycle in the 1980s, including contractions and expansion, the number of employed full-time rose from 81.280 million NSA in IQ1980 to 90.270 million NSA in IQ1987 or 11.1 percent.

ii. In contrast, during the entire current business cycle, including contraction and expansion, the number of persons employed full-time fell from 121.042 million in IVQ2007 to 117.308 million in IIIQ2013 or by minus 3.1 percent.

4. Number of Full-time Employed Persons

Period IQ1980 to IQ1987

Employed Full-time Millions IQ1980 NSA End of Quarter	81.280
Employed Full-time Millions IQ1987 NSA End of Quarter	90,270
∆% Full-time Employed IQ1980 to IQ1987	11.1

Period IVQ2007 to IIIQ2013

Employed Full-time Millions IVQ2007 NSA End of Quarter	121.042
Employed Full-time Millions IIIQ2013 NSA End of Quarter	117.308
∆% Full-time Employed IVQ2007 to IIIQ2013	-3.1

5. Unemployed, Unemployment Rate and Employed Part-time for Economic Reasons.

i. As shown in Table IX-2 and in the following block, in the cycle from IQ1980 to IQ1987: (a) The rate of unemployment was virtually the same at 6.9 percent in IQ1987 relative to 6.6 percent in IQ1980. (b) The number unemployed increased from 6.983 million in IQ1980 to 8.124 million in IQ1987 or 16.3 percent. (c) The number employed part-time for economic reasons increased 44.4 percent from 3.624 million in IQ1980 to 5.232 million in IQ1987.

ii. In contrast, in the economic cycle from IVQ2007 to IIIQ2013: (a) The rate of unemployment increased from 4.8 percent in IVQ2007 to 7.0 percent in IIIQ2013. (b) The number unemployed increased 47.7 percent from 7.371 million in IVQ2007 to 10.885 million in IIIQ2013. (c) The number employed part-time for economic reasons because they could not find any other job increased 58.4 percent from 4.750 million in IVQ2007 to 7.522 million in IIIQ2013. (d) U6 Total Unemployed plus all marginally attached workers plus total employed part time for economic reasons as percent of all civilian labor force plus all marginally attached workers NSA increased from 8.7 percent in IVQ2007 to 13.1 percent in IIIQ2013.

Period IQ1980 to IQ1987

Unemployment Rate IQ1980 NSA End of Quarter	6.6
Unemployment Rate  IQ1987 NSA End of Quarter	6.9
Unemployed IQ1980 Millions End of Quarter	6.983
Unemployed IQ1987 Millions End of Quarter	8.124
∆%	16.3
Employed Part-time Economic Reasons Millions IQ1980 End of Quarter	3.624
Employed Part-time Economic Reasons Millions IQ1987 End of Quarter	5.232
∆%	44.4

Period IVQ2007 to IIIQ2013

Unemployment Rate IVQ2007 NSA End of Quarter	4.8
Unemployment Rate IIIQ2013 NSA End of Quarter	7.0
Unemployed IVQ2007 Millions End of Quarter	7.371
Unemployed IIIQ2013 Millions End of Quarter	10.885
∆%	47.7
Employed Part-time Economic Reasons IVQ2007 Millions End of Quarter	4.750
Employed Part-time Economic Reasons Millions IIIQ2013 End of Quarter	7.522
∆%	58.4
U6 Total Unemployed plus all marginally attached workers plus total employed part time for economic reasons as percent of all civilian labor force plus all marginally attached workers NSA
IVQ2007	8.7
IIIQ2013	13.1

6. Wealth of Households and Nonprofit Organizations.

The comparison of net worth of households and nonprofit organizations in the entire economic cycle from IQ1980 (and from IVQ1979) to IQ1987 and from IVQ2007 to IIIQ2012 is provided in Table IX-2 and in the following block. i. The data reveal the following facts for the cycles in the 1980s:

• IVQ1979 to IQ1987. Net worth increased 94.1 percent from IVQ1979 to IQ1987, the all items CPI index increased 46.2 percent from 76.7 in Dec 1979 to 112.1 in Mar 1987 and real net worth increased 32.8 percent.
• IQ1980 to IVQ1985. Net worth increased 65.7 percent, the all items CPI index increased 36.5 percent from 80.1 in Mar 1980 to 109.3 in Dec 1985 and real net worth increased 21.4 percent.
• IVQ1979 to IVQ1985. Net worth increased 69.4 percent, the all items CPI index increased 42.5 percent from 76.7 in Dec 1979 to 109.3 in Dec 1985 and real net worth increased 18.8 percent.
• IQ1980 to IQ1987. Net worth increased 89.9 percent, the all items CPI index increased 39.9 percent from 80.1 in Mar 1980 to 112.1 in Mar 1987 and real net worth increased 35.7 percent.

ii. There is disastrous performance in the current economic cycle:

• IVQ2007 to IIIQ2013. Net worth increased 13.6 percent, the all items CPI increased 11.5 percent from 210.036 in Dec 2007 to 234.149 in Sep 2013 and real or inflation adjusted net worth increased 1.9 percent.

The explanation is partly in the sharp decline of wealth of households and nonprofit organizations and partly in the mediocre growth rates of the cyclical expansion beginning in IIIQ2009. US economic growth has been at only 2.3 percent on average in the cyclical expansion in the 17 quarters from IIIQ2009 to IIIQ2013. Boskin (2010Sep) measures that the US economy grew at 6.2 percent in the first four quarters and 4.5 percent in the first 12 quarters after the trough in the second quarter of 1975; and at 7.7 percent in the first four quarters and 5.8 percent in the first 12 quarters after the trough in the first quarter of 1983 (Professor Michael J. Boskin, Summer of Discontent, Wall Street Journal, Sep 2, 2010 http://professional.wsj.com/article/SB10001424052748703882304575465462926649950.html). There are new calculations using the revision of US GDP and personal income data since 1929 by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm) and the third estimate of GDP for IIIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp3q13_3rd.pdf). The average of 7.7 percent in the first four quarters of major cyclical expansions is in contrast with the rate of growth in the first four quarters of the expansion from IIIQ2009 to IIQ2010 of only 2.7 percent obtained by diving GDP of $14,738.0 billion in IIQ2010 by GDP of $14,356.9 billion in IIQ2009 {[$14,738.0/$14,356.9 -1]100 = 2.7%], or accumulating the quarter on quarter growth rates (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html and earlier http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html).The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.9 percent, 5.4 percent from IQ1983 to IIIQ1986, 5.4 percent from IQ1983 to IVQ1986 and at 7.8 percent from IQ1983 to IVQ1983 (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html and earlier http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html). As a result, there are 28.1 million unemployed or underemployed in the United States for an effective unemployment rate of 17.2 percent (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html http://cmpassocregulationblog.blogspot.com/2013/11/global-financial-risk-mediocre-united.html). The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May).

Period IQ1980 to IVQ1985
Net Worth of Households and Nonprofit Organizations USD Millions
IVQ1979 IQ1980	9,021.2 9,220.3
IVQ1985 IIIQ1986 IVQ1986 IQ1987	15,278.5 16,292.9 16,845,1 17,509.1
∆ USD Billions IVQ1985 IQ1987 IQ1980-IVQ1985 IQ1980-IIIQ1986 IQ1980-IVQ1986 IQ1980-IQ1987	+6,257.3  ∆%69.4 R∆%18.8 +8,487.9  ∆%94.1 R∆%32.8 +6,058.2 ∆%65.7 R∆%21.4 +7,072.6 ∆%76.7 R∆%28.4 +7,624.8 ∆%82.7 R∆%32.4 +8,288.8 ∆%89.9 R∆%35.7
Period IVQ2007 to IQ2013
Net Worth of Households and Nonprofit Organizations USD Millions
IVQ2007	67,990.3
IIIQ2013	77,259.3
∆ USD Billions	9,269.0 ∆%13.6 R∆%1.9

Net Worth = Assets – Liabilities. R∆% real percentage change or adjusted for CPI percentage change.

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: third quarter 2013. Washington, DC, Federal Reserve System, Dec 9.

http://www.federalreserve.gov/releases/Z1/Current/

7. Gross Private Domestic Investment.

i. The comparison of gross private domestic investment in the entire economic cycles from IQ1980 to IQ1987 and from IVQ2007 to IIIQ2013 is in the following block and in Table IX-2. Gross private domestic investment increased from $951.6 billion in IQ1980 to $1,173.8 billion in IQ1987 or by 23.4 percent.

ii In the current cycle, gross private domestic investment increased from $2,605.2 billion in IVQ2007 to $2,627.2 billion in IIIQ2013, or 0.8 percent. Private fixed investment fell from $2,586.3 billion in IVQ2007 to $2,494.0 billion in IIIQ2013, or decline by 3.6 percent.

Period IQ1980 to IQ1987
Gross Private Domestic Investment USD 2009 Billions
IQ1980	951.6
IQ1987	1,173.8
∆%	23.4
Period IVQ2007 to IIIQ2013
Gross Private Domestic Investment USD Billions
IVQ2007	2,605.2
IIQ2013	2,627.2
∆%	0.8
Private Fixed Investment USD 2009 Billions
IVQ2007	2,586.3
IIIQ2013	2,494.0
∆%	-3.6

Table IX-2, US, GDP and Real Disposable Personal Income per Capita Actual and Trend Growth and Employment, 1980-1985 and 2007-2012, SAAR USD Billions, Millions of Persons and ∆%

Period IQ1980 to IQ1987
GDP SAAR USD Billions
IQ1980	6,517.9
IQ1987	7,986.4
∆% IQ1980 to IQ1987 (22.9 percent from IVQ1982 $6496.8 billion)	21.1
∆% Trend Growth IQ1980 to IQ1987	24.8
Real Disposable Personal Income per Capita IQ1980 Chained 2009 USD	20,242
Real Disposable Personal Income per Capita IQ1987 Chained 2009 USD	23,891
∆% IQ1980 to IQ1987 (18.1 percent from IVQ1982 $20,230 billion)	18.0
∆% Trend Growth	16.0
Employed Millions IQ1980 NSA End of Quarter	98.527
Employed Millions IQ1987 NSA End of Quarter	110.229
∆% Employed IQ1980 to IQ1987	11.9
Employed Full-time Millions IQ1980 NSA End of Quarter	81.280
Employed Full-time Millions IQ1987 NSA End of Quarter	90.270
∆% Full-time Employed IQ1980 to IQ1987	11.1
Unemployment Rate IQ1980 NSA End of Quarter	6.6
Unemployment Rate  IQ1987 NSA End of Quarter	6.9
Unemployed IQ1980 Millions NSA End of Quarter	6.983
Unemployed IQ1987 Millions NSA End of Quarter	8.124
∆%	16.3
Employed Part-time Economic Reasons IQ1980 Millions NSA End of Quarter	3.624
Employed Part-time Economic Reasons Millions IQ1987 NSA End of Quarter	5.232
∆%	44.4
Net Worth of Households and Nonprofit Organizations USD Billions
IVQ1979	9,021.4
IQ1987	17,509.1
∆ USD Billions	+8,487.9
∆% CPI Adjusted	32.8
Gross Private Domestic Investment USD 2009 Billions
IQ1980	951.6
IQ1987	1173.8
∆%	23.4
Period IVQ2007 to IIQ2013
GDP SAAR USD Billions
IVQ2007	14,996.1
IIIQ2013	15,839.3
∆% IVQ2007 to IIIQ2013	5.6
∆% IVQ2007 to IIIQ2013 Trend Growth	19.4
Real Disposable Personal Income per Capita IVQ2007 Chained 2009 USD	35,823
Real Disposable Personal Income per Capita IIIQ2013 Chained 2009 USD	36,943
∆% IVQ2007 to IIIQ2013	3.1
∆% Trend Growth	12.6
Employed Millions IVQ2007 NSA End of Quarter	146.334
Employed Millions IIIQ2013 NSA End of Quarter	144.651
∆% Employed IVQ2007 to IIIQ2013	-1.2
Employed Full-time Millions IVQ2007 NSA End of Quarter	121.042
Employed Full-time Millions IIIQ2013 NSA End of Quarter	117.308
∆% Full-time Employed IVQ2007 to IIIQ2013	-3.1
Unemployment Rate IVQ2007 NSA End of Quarter	4.8
Unemployment Rate IIIQ2013 NSA End of Quarter	7.0
Unemployed IVQ2007 Millions NSA End of Quarter	7.371
Unemployed IIIQ2013 Millions NSA End of Quarter	10.885
∆%	47.7
Employed Part-time Economic Reasons IVQ2007 Millions NSA End of Quarter	4.750
Employed Part-time Economic Reasons Millions IIIQ2013 NSA End of Quarter	7.522
∆%	58.4
U6 Total Unemployed plus all marginally attached workers plus total employed part time for economic reasons as percent of all civilian labor force plus all marginally attached workers NSA
IVQ2007	8.7
IIIQ2013	13.1
Net Worth of Households and Nonprofit Organizations USD Billions
IVQ2007	67,990.3
IIIQ2013	77.259.3
∆ USD Billions	9,269 ∆%13.6 R∆%1.9
Gross Private Domestic Investment USD Billions
IVQ2007	2,605.2
IIIQ2013	2,627.2
∆%	0.8
Private Fixed Investment USD 2005 Billions
IVQ2007	2,586.3
IIIQ2013	2,494.0
∆%	-3.6

Note: GDP trend growth used is 3.0 percent per year and GDP per capita is 2.0 percent per year as estimated by Lucas (2011May) on data from 1870 to 2010.

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm US Bureau of Labor Statistics http://www.bls.gov/data/. Board of Governors of the Federal Reserve System. 2013Jun6. Flow of funds, balance sheets and integrated macroeconomic accounts. Washington, DC, Federal Reserve System, Jun 6.

The Congressional Budget Office (CBO 2013BEOFeb5) estimates potential GDP, potential labor force and potential labor productivity provided in Table IX-3. The CBO estimates average rate of growth of potential GDP from 1950 to 2012 at 3.3 percent per year. The projected path is significantly lower at 2.2 percent per year from 2012 to 2023. The legacy of the economic cycle expansion from IIIQ2009 to IIIQ2013 at 2.3 percent on average is in contrast with 5.0 percent on average in the expansion from IQ1983 to IQ1987 (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html). Subpar economic growth may perpetuate unemployment and underemployment estimated at 28.1 million or 17.2 percent of the effective labor force in Nov 2013 (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html) with much lower hiring than in the period before the current cycle (http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html).

Table IX-3, US, Congressional Budget Office History and Projections of Potential GDP of US Overall Economy, ∆%

	Potential GDP	Potential Labor Force	Potential Labor Productivity*
Average Annual ∆%
1950-1973	3.9	1.6	2.3
1974-1981	3.3	2.5	0.8
1982-1990	3.1	1.6	1.5
1991-2001	3.1	1.3	1.8
2002-2012	2.2	0.8	1.4
Total 1950-2012	3.3	1.5	1.7
Projected Average Annual ∆%
2013-2018	2.2	0.6	1.6
2019-2023	2.3	0.5	1.8
2012-2023	2.2	0.5	1.7

*Ratio of potential GDP to potential labor force

Source: CBO (2013BEOFeb5).

Chart IX-1 of the Congressional Budget Office (CBO 2013BEOFeb5) provides actual and potential GDP of the United States from 2000 to 2011 and projected to 2024. Lucas (2011May) estimates trend of United States real GDP of 3.0 percent from 1870 to 2010 and 2.2 percent for per capita GDP. The United States successfully returned to trend growth of GDP by higher rates of growth during cyclical expansion as analyzed by Bordo (2012Sep27, 2012Oct21) and Bordo and Haubrich (2012DR). Growth in expansions following deeper contractions and financial crises was much higher in agreement with the plucking model of Friedman (1964, 1988). The unusual weakness of growth at 2.3 percent on average from IIIQ2009 to IIIQ2013 during the current economic expansion in contrast with 5.0 percent on average in the cyclical expansion from IQ1983 to IQ1987 (http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html) cannot be explained by the contraction of 4.3 percent of GDP from IVQ2007 to IIQ2009 and the financial crisis. Weakness of growth in the expansion is perpetuating unemployment and underemployment of 28.1 million or 17.2 percent of the labor force as estimated for Nov 2013 (http://cmpassocregulationblog.blogspot.com/2013/12/risks-of-zero-interest-rates-mediocre.html). There is no exit from unemployment/underemployment and stagnating real wages because of the collapse of hiring (http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html). The US economy and labor markets collapsed without recovery. Abrupt collapse of economic conditions can be explained only with cyclic factors (Lazear and Spletzer 2012Jul22) and not by secular stagnation (Hansen 1938, 1939, 1941 with early dissent by Simons 1942).

Chart IX-1, US, Congressional Budget Office, Actual and Projections of Potential GDP, 2000-2024, Trillions of Dollars

Source: Congressional Budget Office, CBO (2013BEOFeb5).

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