Bond Risk Premia

Working Paper: NBER ID: w9178

Authors: John H. Cochrane; Monika Piazzesi

Abstract: This paper studies time variation in expected excess bond returns. We run regressions of annual excess returns on forward rates. We find that a single factor predicts 1-year excess returns on 1-5 year maturity bonds with an R2 up to 43%. The single factor is a tent-shaped linear function of forward rates. The return forecasting factor has a clear business cycle correlation: Expected returns are high in bad times, and low in good times, and the return-forecasting factor forecasts long-run output growth. The return-forecasting factor also forecasts stock returns, suggesting a common time-varying premium for real interest rate risk. The return forecasting factor is poorly related to level, slope, and curvature movements in bond yields. Therefore, it represents a source of yield curve movement not captured by most term structure models. Though the return-forecasting factor accounts for more than 99% of the time-variation in expected excess bond returns, we find additional, very small factors that forecast equally small differences between long term bond returns, and hence statistically reject a one-factor model for expected returns.

Keywords: bond risk premia; expected excess returns; forward rates; business cycles; term structure

JEL Codes: G1; E4


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
return forecasting factor (G17)expected excess bond returns (G12)
return forecasting factor (G17)long-run output growth (O40)
return forecasting factor (G17)stock returns (G12)
business cycle conditions (E32)expected excess bond returns (G12)
return forecasting factor (G17)yield curve variation (E43)
return forecasting factor (G17)idiosyncratic movements in bond prices (E43)

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