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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Meet the Author

Brent Meyer |

Economist

Brent Meyer

Brent Meyer is a former economist of the Federal Reserve Bank of Cleveland.

05.16.07

Economic Trends

The Yield Curve’s Prognosis for Economic Growth

Joseph G. Haubrich and Brent Meyer

In its limited capacity as a simple forecaster of economic growth, the slope of the yield curve has been giving us a rather pessimistic view for a while now. Though rates have fallen since last month, the spread remains negative: with 10-year Treasury bond rate at 4.65 percent and the 3-month Treasury bill rate at 4.88 percent (both for the week ending May 11), the spread stands at a negative 23 basis points, not quite as negative as a month ago. Projecting forward using past values of the spread and GDP growth suggests that real GDP will grow at about a 2.4 percent rate over the next year. This prediction is on the low side of other forecasts.

The rule of thumb for using the slope of the yield curve to forecast economic growth is that an inverted yield curve (short rates above long rates) indicates a recession in about a year. 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 bonds and 3-month T-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 expected chance of a recession in the next year based on statistical modeling of the yield curve and GDP is 35 percent, down a bit from last month’s value of 38 percent and March’s 46 percent. The 35 percent is quite a bit higher than the 16.9 percent calculated by James Hamilton over at Econbrowser, but close to the one-third chance seen by Alan Greenspan. To be fair to Econbrowser, we are calculating different events: Our number gives a probability that the economy will be in recession over the next year; Econbrowser looks at the probability that the fourth quarter of 2006 was in a recession.

Of course, it might not be advisable to take our number quite so literally, for two reasons. First, the 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?"