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Term Structure of Risk in Expected Returns
[Stock returns and volatility: Pricing the short-run and long-run components of market risk]

Author

Listed:
  • Irina Zviadadze

Abstract

This paper develops a methodology to test structural asset pricing models based on their implications for the multiperiod risk-return trade-off. A new measure, the term structure of risk, captures the sensitivities of multiperiod expected returns to structural shocks. The level and slope of the term structure of risk can indicate misspecification in equilibrium models. I evaluate the performance of asset pricing models with long-run risk, consumption disasters, and variance shocks. I find that only a model with multiple shocks in the variance of consumption growth is consistent with the propagation of and compensation for risk in the aggregate stock market.

Suggested Citation

  • Irina Zviadadze, 2021. "Term Structure of Risk in Expected Returns [Stock returns and volatility: Pricing the short-run and long-run components of market risk]," The Review of Financial Studies, Society for Financial Studies, vol. 34(12), pages 6032-6086.
    • Handle: RePEc:oup:rfinst:v:34:y:2021:i:12:p:6032-6086.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhab013
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    Cited by:

    1. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2023. "The Variance Risk Premium in Equilibrium Models," Review of Finance, European Finance Association, vol. 27(6), pages 1977-2014.
    2. Christian Schlag & Michael Semenischev & Julian Thimme, 2021. "Predictability and the Cross-Section of Expected Returns: A Challenge for Asset Pricing Models," Management Science, INFORMS, vol. 67(12), pages 7932-7950, December.
    3. Schlag, Christian & Semenischev, Michael & Thimme, Julian, 2020. "Predictability and the cross-section of expected returns: A challenge for asset pricing models," SAFE Working Paper Series 289, Leibniz Institute for Financial Research SAFE.
    4. Kroencke, Tim A., 2022. "Recessions and the stock market," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 61-77.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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