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Does monetary policy uncertainty command a risk premium in the Chinese stock market?

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  • Lei Lin
  • Jing Tan
  • Wenzhen Liu

Abstract

We examine the pricing implications of monetary policy uncertainty (MPU) in the cross‐section of stock returns in the Chinese stock market. Our results show that the long‐short portfolio that is long stocks with the lowest exposures to innovations in MPU and short stocks with the highest exposures to innovations in MPU earns about 6% annualized alpha. The coskewness, idiosyncratic volatility, size, and book‐to‐market effects cannot account for the low (high) average returns earned by stocks with high (low) exposures to innovations in MPU. Furthermore, the exposure to innovations in MPU commands a significantly negative risk premium in the Fama‐MacBeth regressions. These results indicate that investors have preferences for the early resolution of MPU.

Suggested Citation

  • Lei Lin & Jing Tan & Wenzhen Liu, 2022. "Does monetary policy uncertainty command a risk premium in the Chinese stock market?," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 433-452, September.
  • Handle: RePEc:bla:irvfin:v:22:y:2022:i:3:p:433-452
    DOI: 10.1111/irfi.12356
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    References listed on IDEAS

    as
    1. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    2. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    3. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    4. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    5. Ravi Bansal & Dana Kiku & Ivan Shaliastovich & Amir Yaron, 2014. "Volatility, the Macroeconomy, and Asset Prices," Journal of Finance, American Finance Association, vol. 69(6), pages 2471-2511, December.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Ozdagli, Ali & Velikov, Mihail, 2020. "Show me the money: The monetary policy risk premium," Journal of Financial Economics, Elsevier, vol. 135(2), pages 320-339.
    9. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    10. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    11. Hengjie Ai & Dana Kiku, 2016. "Volatility Risks and Growth Options," Management Science, INFORMS, vol. 62(3), pages 741-763, March.
    12. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    13. Bali, Turan G. & Brown, Stephen J. & Tang, Yi, 2017. "Is economic uncertainty priced in the cross-section of stock returns?," Journal of Financial Economics, Elsevier, vol. 126(3), pages 471-489.
    14. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    15. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, August.
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