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Countercyclical and time-varying reward to risk and the equity premium

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  • Antell, Jan
  • Vaihekoski, Mika

Abstract

We study whether the equity premium is related to volatility or variance, whether the reward to market risk is positive, and whether it behaves in a counter-cyclical fashion. Using APARCH models for the conditional market risk, we compare the traditional and the new testing approach of Antell and Vaihekoski (2019) on the monthly US equity premium from 1928 to 2018. The results from the new approach give stronger support for the pricing of volatility rather than variance and for positive reward to market risk. The support for timevarying and countercyclical reward to risk coefficient is smaller than previously thought.

Suggested Citation

  • Antell, Jan & Vaihekoski, Mika, 2023. "Countercyclical and time-varying reward to risk and the equity premium," Research in International Business and Finance, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:riibaf:v:66:y:2023:i:c:s0275531923001435
    DOI: 10.1016/j.ribaf.2023.102017
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    References listed on IDEAS

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    1. Hong, Seok Young & Linton, Oliver, 2020. "Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff," Journal of Econometrics, Elsevier, vol. 219(2), pages 389-424.
    2. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    3. Un, Kuok Sin & Ausloos, Marcel, 2022. "Equity premium prediction: Taking into account the role of long, even asymmetric, swings in stock market behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    4. Panayiotis Theodossiou & Christos S. Savva, 2016. "Skewness and the Relation Between Risk and Return," Management Science, INFORMS, vol. 62(6), pages 1598-1609, June.
    5. Kenton K. Yee, 2006. "Earnings Quality and the Equity Risk Premium: A Benchmark Model," Contemporary Accounting Research, John Wiley & Sons, vol. 23(3), pages 833-877, September.
    6. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    7. Bansal, Ravi & Lundblad, Christian, 2002. "Market efficiency, asset returns, and the size of the risk premium in global equity markets," Journal of Econometrics, Elsevier, vol. 109(2), pages 195-237, August.
    8. Matthieu Gilson & Kim Oosterlinck & Andrey Ukhov, 2015. "Time-Varying Risk Aversion during World War II: Evidence from Belgian Lottery Bond Prices," Working Papers CEB 15-031, ULB -- Universite Libre de Bruxelles.
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    More about this item

    Keywords

    Conditional asset pricing; Equity premium; Reward to risk; Market risk; Business cycles;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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