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Understanding bond risk premia
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Understanding bond risk premia

Author

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  • Pavol Povala

    (University of Lugano)

  • Anna Cieslak

    (Northwestern University)

Abstract

We decompose yields into long-horizon expected inflation and maturity-related cycles to study the predictability of bond excess returns. Cycles capture the risk premium and the business cycle variation of short rate expectations. From cycles, we construct a forecasting factor that explains up to above 50% (30%) of in-sample (out-of-sample) variation of annual bond returns. The factor varies at a frequency higher than the business cycle, and predicts real activity at long horizons. It also aggregates information from different macro-finance predictors of bond returns. Our decomposition reveals why bond returns are predictable by a linear combination of forward rates or the term spread.

Suggested Citation

  • Pavol Povala & Anna Cieslak, 2012. "Understanding bond risk premia," 2012 Meeting Papers 771, Society for Economic Dynamics.
    • Handle: RePEc:red:sed012:771
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    Cited by:

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    2. Shin, Minchul & Zhong, Molin, 2017. "Does realized volatility help bond yield density prediction?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
    3. Dick Dijk & Siem Jan Koopman & Michel Wel & Jonathan H. Wright, 2014. "Forecasting interest rates with shifting endpoints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 693-712, August.
    4. Emanuel Kopp & Peter D. Williams, 2018. "A Macroeconomic Approach to the Term Premium," IMF Working Papers 2018/140, International Monetary Fund.
    5. Michael D. Bauer & Glenn D. Rudebusch, 2017. "Resolving the Spanning Puzzle in Macro-Finance Term Structure Models," Review of Finance, European Finance Association, vol. 21(2), pages 511-553.
    6. Andrea Ajello & Luca Benzoni & Olena Chyruk & Stijn Van Nieuwerburgh, 2020. "Core and ‘Crust’: Consumer Prices and the Term Structure of Interest Rates," The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3719-3765.
    7. Riccardo Rebonato, 2017. "Affine Models With Stochastic Market Price Of Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-38, June.
    8. Bruno Feunou & Jean-Sébastien Fontaine & Anh Le & Christian Lundblad, 2022. "Tractable Term Structure Models," Management Science, INFORMS, vol. 68(11), pages 8411-8429, November.
    9. Kees E. Bouwman & Elvira Sojli & Wing Wah Tham, 2012. "Aggregate Stock Market Illiquidity and Bond Risk Premia," Tinbergen Institute Discussion Papers 12-140/IV/DSF46, Tinbergen Institute.
    10. Dockner, Engelbert J. & Mayer, Manuel & Zechner, Josef, 2013. "Sovereign bond risk premiums," CFS Working Paper Series 2013/28, Center for Financial Studies (CFS).
    11. Duffee, Gregory, 2013. "Forecasting Interest Rates," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 385-426, Elsevier.
    12. Hou, Keqiang & Li, Xing & Li, Zeguang & Wu, Ting, 2021. "Forecasting bond returns in a macro model," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 524-545.

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