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Inverted Yield Curves and Future Equity Returns

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A lot of investors are curious to know what an inverted yield curve, if one occurs, might mean for the stock market. In an analysis of Fed data, Jared Kizer concludes such inversions don’t preordain poor equity returns and that other context matters.

Investors and advisors alike are curious about the implications of a potentially inverted yield curve and stock market performance. This is not something I’ve examined previously, so this was a chance to take advantage of the Sack yield curve data set maintained by the Fed. As far as I know, this is the best (and maybe only) data source for zero-coupon yields on U.S. Treasuries. The data set goes back to 1961 providing a long-term data set to count instances of an inverted U.S. Treasury curve and then compute U.S. stock market returns from that point into the future. 

Using this data set, I calculated the yield spread between five-year zero-coupon bonds and two-year zero-coupon bonds as my measure of yield curve steepness. When this measure is positive, it means yields on five-year bonds are higher than two-year bonds and vice versa. The normal state of affairs is, of course, that this spread (I’ll call it the “2s5s spread”) is positive. A positive spread is an indication that the market expects either interest rates to be higher in the future, an expected reward for investors who are willing to take interest-rate risk or some combination of the two. An inverted yield curve has the opposite interpretation and is also believed to be an indicator that the fixed income market believes there’s a strong possibility of a recession. The idea behind this (though I’m simplifying it a bit) is that if the fixed income market believes rates will be lower in the future, it probably indicates that the fixed income market expects economic growth to be lower in the future as well (and potentially even negative at some point). 

The methodology I used steps forward in time with the daily measure of the 2s5s spread from the Sack data set and, as an initial step, captures each point in time when the 2s5s spread is negative. This is a relatively large number of dates, so I eliminated those less than three years after a date that I have already captured. For example, if the 2s5s spread was negative on 12/31/1965, I won’t capture another negative 2s5s spread until at least 12/31/1968. If the spread was positive on 12/31/1968, I keep stepping forward in time until I find the next date when the spread was negative and so on until the end of the data set. 

With this approach, I captured a total of nine dates when the 2s5s spread was negative. These dates are:

1. 5/18/1966 

2. 5/19/1969

3. 2/27/1973

4. 8/2/1978

5. 8/3/1981

6. 12/5/1988

7. 12/22/1997

8. 12/22/2000

9. 9/28/2005 

I then calculated the three- and five-year total returns of Ken French’s measure of the U.S. market premium (MKT). I’ll emphasize again that these are the total returns of MKT and not compound, annualized returns. Table 1 below relays the total returns of the MKT over each of the three- and five-year periods as well as the averages over all periods. 

Table 1: MKT Premium Total Returns Following Inverted U.S. Treasury Curve 

 table-1.png

Sources: Sack yield curve data set and Ken French Data Library 

Note that, for most dates, I capture the 2s5s spread just as it has gone negative. Most of the values in the second column are just slightly negative. Focusing on the third and fourth columns, we see a very wide range of outcomes for the MKT premium over both horizons, but particularly for the five-year period. In the five-year period, four results have negative total returns (although two of these overlap), with two of these being negative total returns in excess of 30 percent. However, in some five-year periods, the MKT premium total returns are substantially positive with a few in excess of +50 percent. Looking at the averages, we see very modestly positive total returns at an average of 2.7 percent for the three-year periods and 10.8 percent for the five-year periods, indicating that U.S. stock market returns have tended to be lower but still positive following periods of yield curve inversion. 

How might the above apply to a yield curve inversion in 2018 or beyond? First, it tells us that yield curve inversions do not pre-ordain poor equity returns. This is what I expected because it would be unusual for any indicator to be that reliable. Second, to re-emphasize a point from the prior paragraph, it shows that the MKT premium has — on average — still been positive. Again, this is what I expected. Third, we’d want to know how relevant each of those nine historical periods are for today. What comes to mind here is thinking about U.S. stock market valuation at each of those points in time and how that might have also influenced the results we see in Table 1.

In Table 2, I’ve added in the Shiller P/E for the month end preceding the dates in Table 1. The third column repeats the five-year MKT premium total return from Table 1. At the bottom is the correlation between the Shiller P/Es and the subsequent five-year MKT premia total returns. 

Table 2: Shiller P/E and MKT Premium Total Returns 

 table-2.png

Sources: Sack yield curve data set and Robert Shiller online data 

While this is a small sample, Table 2 shows that there has been a negative relationship between the Shiller P/E and subsequent five-year MKT premium returns for the nine inverted yield curve dates. With the small sample size (and my general belief that market timing is a fool’s errand), I certainly wouldn’t recommend trading on the above. However, it does suggest — as one would expect — that other context matters, not simply whether the yield curve is inverted or not. It also suggests that investors would be wise to have globally diversified stock allocations, not concentrating only in U.S. equities where valuations are well above the long-term average, and stick to a targeted allocation that makes sense in the context of a long-term plan and the risks an investor is comfortable taking. 

This commentary originally appeared July 20 on MultifactorWorld.com

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