What Is the Yield Curve Telling Us?
The yield curve has continued to get steeper, with a slight drop in long rates overshadowed by the plunge in short rates. The spread remains positive, with the 10-year rate moving down to 3.51 percent while the 3-month rate dropped all the way to 1.37 percent (both for the week ending March 14). Standing at 214 basis points, the spread is well above February’s 144 basis points, and January’s 127 basis points. Projecting forward using past values of the spread and GDP growth suggests that real GDP will grow at about a 2.7 percent rate over the next year. This is on the high side of other forecasts.
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 March stands at 2.7 percent, down from February’s 3.7 percent, and from January’s already low 4.8 percent.
This probability of recession is below several recent estimates, and perhaps seems strange the in the midst of the recent financial concerns, but one aspect of those concerns has been a flight to quality, which lowers Treasury yields. Also related to those concerns is the reduction of the federal funds target rate and the discount rate by the Federal Reserve, which tends to steepen the yield curve. Furthermore, the forecast is for where the economy will be next March, not earlier in the year.
On the other hand, a year ago, the yield curve was predicting a 46 percent chance that the US economy would be in a recession in March 2008, a number that seemed unreasonably high at the time.
To compare the 2.7 percent probability of recession 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, they 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?”