Article Highlight | 23-Apr-2023

The playbook of forecasting U.S. Treasury bond returns

KeAi Communications Co., Ltd.

Interest rate variance risk premium (IRVRP), the difference between implied (forward-looking) and realized (backward-looking) variances of interest rates, measures compensation for risk for exposure to volatility in the interest-rate markets.

Bond return predictability can be explained by a number of plausible risk factors, including forward spreads, forward rates, jump risk measures, hidden term structures, and macroeconomic factors. Nonetheless, it remains a fundamental challenge to discover the economic mechanism behind bond return variation.

To that end, in a new study published in the KeAi journal The Journal of Finance and Data Science, an international team of researchers from China and the US constructed the IRVRP for the cash market of the U.S. Treasury securities. 

The researchers measured the implied variance using options on U.S. interest rate swaps, or swaptions.   They also measured realized variance of the U.S. Treasury securities, that is, U.S. government bonds, as a sophisticated average of their past squared returns.  The IRVRP is shown in Figure 1.

“We find that IRVRP is a strong predictor of U.S. Treasury bond excess returns of maturities ranging between one and ten years for return horizons up to six months,” shared Olesya Grishchenko, lead author of the study.  “Hence, IRVRP appears to be capturing the risk at the relatively short horizons and is associated with short-run risks.”  This result is demonstrated by downward-sloping term structure of estimated coefficients and corresponding R-squared values of the univariate regressions in the top-row charts of Figure 2.  

At the same time, the team found that EVRP emerged as a predictor of longer-term bond returns—maturities beyond ten years— and as such, likely to be associated with long-run risks.  This result is reflected in the middle-row charts of Figure 2.

“EVRP is a measure similar to IRVRP that reflects compensation for exposure to volatility in the aggregate equity market,” explained Grishchenko.  “Similar to the case in IRVRP, forward spread (FS), a difference between longer- and shorter-term interest rates, is a classical predictor of U.S. Treasury securities excess returns’ it explains the variation in them for relatively longer maturities.  As such, it is likely to be associated with long-run risks.”  This result is reflected in the bottom-row charts of Figure 2.

“Explanatory power of IRVRP is the highest at shorter maturities and is decreasing monotonically with longer maturities,” said Hao Zhou, corresponding author of the study. “In contrast, explanatory power of EVRP is the lowest at shorter maturities and is increasing monotonically with longer maturities. The dynamics of FS represents some intermediate situation between IRVRP and EVRP.”

The team rationalized their main findings within a consumption-based model with long-run risk, economic uncertainty and inflation non-neutrality. In the model, IRVRP is related to short-run risk only, while standard forward-rate-based factors are associated with both short-run and long-run risks in the economy.

“Our model qualitatively replicates the predictability pattern of IRVRP for U.S. Treasury bond returns,” concluded Zhou. “Together with our findings, it provides useful insights on different volatility risks in driving bond risk premium dynamics for market participants and monetary policy makers in practice.”

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Contact the corresponding author: Olesya V. Grishchenko, Division of Monetary Affairs, Federal Reserve Board, Washington, USA; olesya.v.grishchenko@frb.gov

The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 100 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).

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