Economic Analysis U.S. Probability Rises to 25 Kan Chen U.S. has a 25 probability of going into a recession in the next 12 months, based on our estimate Our model balances factors from financial markets and the manufacturing sector Deteriorating profits of S&P 500 companies may reflect a weakening global economy It has been more than nine years since the beginning of the Great. Despite the bold moves by global policymakers, the recovery has been discouragingly slow, and some economists even argue that the Federal Reserve should not have raised the interest rate last December. As a January survey in the Wall Street Journal reveals, on average there is a 17 probability that the U.S. economy will enter recession in the next 12 months. The concern of a possible recession became even more serious as the January ISM index was disappointingly low, and the PMI index was in the recession territory for 4 months in a row. Chart 1 ISM Indices, SA, 50+=Expansionary 70 50 30 ISM Composite ISM Manufacturing (PMI) Source: ISM, NBER and BBVA Research Leading Indicators for U.S. The traditional leading indicator for economic recession is the treasury spread, which is the difference of the rates between 10-year treasury notes and 3-month treasury bills. The forecast of recession in 12 months is published by the New York Fed every month; according to this official forecast, the risk of an economic recession in the next 12 months is negligible (Chart 2). Yet some economists argue that the treasury spread is no longer an effective indicator because three QEs and the Operation Twist have significantly altered the debt maturity structure; therefore, today s treasury spread is not the same as the spread before the Great (Chart 3).
Chart 2 Probability Forecasts by the NY Fed 5 4 3 2 1 Chart 3 Treasury Spread Pre and Post-Operation Twist 3.5 3.0 2.5 2.0 1.5 1.0 Probability Source: New York Fed Source: Haver and BBVA Research Other indicators are also used by economists to gauge the condition of the economy. For example, analysts from Bank of America found that the decline of rail traffic may signal an economic recession in the future. 1 In addition, the ISM Manufacturing Index itself is always used as an unofficial indicator for the recession risk (Charts 4 & 5). Chart 4 Rail Carload MoM Change 3 2 1-1 -2-3 -4-5 Chart 5 ISM Manufacturing Index (PMI) Index, SA, 50+=Expansionary 70 50 30 Carload ISM manufacturing index Source: AAR, NBER, Haver and BBVA Research Source: Haver and BBVA Research However, there are caveats of the above indicators. Both rail traffic and the manufacturing index may overemphasize the importance of the manufacturing sector. For example, the railroad is mainly used to transfer raw materials and intermediate goods, and therefore may not accurately represent the whole economy. Also, Chart 5 shows that a recessionary manufacturing sector does not necessarily indicate an economic recession. 1 http://www.bloomberg.com/news/articles/2016-01-11/bank-of-america-rail-traffic-is-saying-something-worryingabout-the-u-s-economy. Also, China is known for using cargo volume to gauge economic conditions. The Economist has created a Keqiang index to provide an alternative measure for the Chinese economy, and cargo traffic contributes to 1/3 of this index.
The cyclically adjusted price-to-earnings (CAPE) ratio developed by Nobel Prize winner Robert Shiller provides further insights on the asset markets and economic recession. Although the CAPE ratio was not intended to be used as an indicator of a future market crash, a high CAPE ratio has been found to be highly related to the likelihood of such risks. Moreover, plunging earnings-per-share has also been associated with previous recessions (Chart 6). Chart 6 S&P 500 4-Quarter Total Diluted Earnings per Share $/Share 120 100 80 EPS(CAPE) 20 0 01/01/1985 01/01/1990 01/01/1995 01/01/2000 01/01/2005 01/01/2010 01/01/2015 Source: Robert Shiller, Haver and BBVA Research Financial indicators from other financial markets also provide similar insights. For example, the increasing spread of rates between corporate bonds and 10-year treasury notes can also indicate rising corporate risks and a greater likelihood of an economic recession in the future. Chart 7 Spread of Rates between BAA Corporate Bonds and 10-Year Treasury Notes 7 6 5 Corporate Bonds Spread 4 3 2 1 0 01/01/1985 01/01/1990 01/01/1995 01/01/2000 01/01/2005 01/01/2010 01/01/2015 Source: Robert Shiller, Haver and BBVA Research
01/01/1985 02/01/1987 03/01/1989 04/01/1991 05/01/1993 06/01/1995 07/01/1997 08/01/1999 09/01/2001 11/01/2005 12/01/2007 01/01/2010 02/01/2012 03/01/2014 01/01/1985 02/01/1987 03/01/1989 04/01/1991 05/01/1993 06/01/1995 07/01/1997 08/01/1999 09/01/2001 11/01/2005 12/01/2007 01/01/2010 02/01/2012 03/01/2014 U.S. Economic Watch Forecasts Based on the Leading Indicators The forecast of recession significantly varies based on the choice of indicators. The estimate derived from the traditional indicator of interest spread gives us a flat recession probability. This result is consistent with the forecast from the New York Fed; however, since the Fed s operations have significantly twisted the spread, this forecast based solely on interest spread should be viewed as the lower bound of the recession probability (Chart 8). On the other hand, the forecast based on the interest rate spread and manufacturing indicators gives a result of 47 likelihood of recession in the next 12 months (Chart 9). However, incorporating the indicators of the manufacturing sector may over-emphasize the risks in the whole economy, as the manufacturing sector is in a de facto recession; therefore, this 47 should be viewed as an upper bound of the probability of recession in the next 12 months. Chart 8 Probability of in 12 Months (Interest Rate Spread Model), 10 8 6 4 2 Chart 9 Probability of in 12 Months (Interest Rate Spread & Manufacturing), 10 8 6 4 2 12 months before the recession Probability(yield spread) 12 months before the recession Probability(yield spread+manu.) Considering all factors, including Shiller s CAPE, we have developed a model that is able to generate a balanced forecast (Chart 10). First, our model could correctly forecast the recession in 1990. Second, there are three hikes above 3 before the collapse of the dot-com bubble, so even the false alarms are quantitatively consistent with the data. Third, the model could correctly forecast the Great. Fourth, the probability of recession in the next 12 months is about 25, based on the rate hike near the end of 2015. Although worrying, this does not guarantee a recession unless there are more signs going forward.
01/01/1985 10/01/1985 07/01/1986 04/01/1987 01/01/1988 10/01/1988 07/01/1989 04/01/1990 01/01/1991 10/01/1991 07/01/1992 04/01/1993 01/01/1994 10/01/1994 07/01/1995 04/01/1996 01/01/1997 10/01/1997 07/01/1998 04/01/1999 01/01/2000 10/01/2000 07/01/2001 04/01/2002 01/01/2003 07/01/2004 04/01/2005 01/01/2006 10/01/2006 07/01/2007 04/01/2008 01/01/2009 10/01/2009 07/01/2010 04/01/2011 01/01/2012 10/01/2012 07/01/2013 04/01/2014 01/01/2015 10/01/2015 U.S. Economic Watch Chart 10 Probability of in 12 Months (All Factors) 10 8 6 4 2 12 months before the recession Probability(all factors considered) Bottom Line Current economic indicators are sending alarming signals pointing to a future economic recession. Based on our model, the probability of an economic recession in the next 12 months is 25. The decline of earnings-per-share reflects weakening on the corporate side. In addition to deteriorating profits faced by many companies, sharply declines in rail traffic may also reflect weakening demand in the global economy. World leaders must negotiate a strategy to escape from the looming possibility of a global economic recession. DISCLAIMER This document was prepared by Banco Bilbao Vizcaya Argentaria s (BBVA) BBVA Research U.S. on behalf of itself and its affiliated companies (each BBVA Group Company) for distribution in the United States and the rest of the world and is provided for information purposes only. Within the US, BBVA operates primarily through its subsidiary Compass Bank. The information, opinions, estimates and forecasts contained herein refer to the specific date and are subject to changes without notice due to market fluctuations. The information, opinions, estimates and forecasts contained in this document have been gathered or obtained from public sources, believed to be correct by the Company concerning their accuracy, completeness, and/or correctness. This document is not an offer to sell or a solicitation to acquire or dispose of an interest in securities.