Meet the Author

Joseph G. Haubrich |

Vice President and Economist

Joseph G. Haubrich

Joseph Haubrich is a vice president and economist at the Federal Reserve Bank of Cleveland, where he is responsible for leading the Research Department's Banking and Financial Institutions Group. He specializes in research related to financial institutions and regulations.

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Kent Cherny |

Research Assistant

Kent Cherny

Kent Cherny was formerly a research assistant in the Research Department of the Federal Reserve Bank of Cleveland.

10.24.08

Economic Trends

The Yield Curve, October 2008

Joseph G. Haubrich and Kent Cherny

In the midst of the horrendous economic news of the past month, the yield curve might provide a slice of optimism. On the other hand, the historic turmoil in the financial markets also suggests that historical relations may not be holding up in times of stress. Since last month, the yield curve has gotten steeper, as short rates fell and long-term rates rose.

One reason for noting this is that the slope of the yield curve has achieved some notoriety as a simple forecaster of economic growth. The rule of thumb is that an inverted yield curve (short rates above long rates) indicates a recession in about a year, and yield curve inversions have preceded each of the last six recessions (as defined by the NBER). Very flat yield curves preceded the previous two, and there have been two notable false positives: an inversion in late 1966 and a very flat curve in late 1998. More generally, though, a flat curve indicates weak growth, and conversely, a steep curve indicates strong growth. One measure of slope, the spread between 10-year Treasury bonds and 3-month Treasury bills, bears out this relation, particularly when real GDP growth is lagged a year to line up growth with the spread that predicts it.

The financial crisis showed up in the yield curve, with short rates falling since last month, as investors fled to quality. The 3-month rate dropped from 0.62 percent to 0.46 percent (for the week ending October 17).

Meanwhile, the 10-year rate rose from 3.52 percent all the way up to 4.06 percent. Consequently, the slope increased by a full 66 basis points, moving to 356 basis points, up from the 290 basis points for September and the 205 basis points for August. The flight to quality and the turmoil in the financial markets may impact the reliability of the yield curve as an indicator, but projecting forward using past values of the spread and GDP growth suggests that real GDP will grow at about a 3.0 percent rate over the next year. This remains on the high side of other forecasts, many of which are predicting reductions in real GDP.

While such an approach predicts when growth is above or below average, it does not do so well in predicting the actual number, especially in the case of recessions. Thus, it is sometimes preferable to focus on using the yield curve to predict a discrete event: whether or not the economy is in recession. Looking at that relationship, the expected chance of the economy being in a recession next October stands a miniscule 0.05 percent, down from September’s 0.2 percent and August’s 1.3 percent.

The probability of recession coming out of the yield curve is very low, and may seem strange the in the midst of the recent financial news, but one aspect of those concerns has been a flight to quality, which lowers Treasury yields. Furthermore, both the federal funds target rate and the discount rate have remained low, which tends to result in a steep yield curve. Remember also that the forecast is for where the economy will be next October, not earlier in the year.

On the other hand, in the spring of 2007, the yield curve was predicting a 40 percent chance of a recession in 2008, something that looked out of step with other forecasters at the time.

To compare the 0.05 percent to some other probabilities, and learn more about different techniques of predicting recessions, head on over to the Econbrowser blog.

Of course, it might not be advisable to take this number quite so literally, for two reasons. First, this probability is itself subject to error, as is the case with all statistical estimates. Second, other researchers have postulated that the underlying determinants of the yield spread today are materially different from the determinants that generated yield spreads during prior decades. Differences could arise from changes in international capital flows and inflation expectations, for example. The bottom line is that yield curves contain important information for business cycle analysis, but, like other indicators, should be interpreted with caution.

For more detail on these and other issues related to using the yield curve to predict recessions, see the Commentary "Does the Yield Curve Signal Recession? "