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Earnings announcement premium and return volatility: Is it consistent with risk-return trade-off?

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  • Tsafack, Georges
  • Becker, Ying
  • Han, Ki

Abstract

Earlier studies document the earnings announcement premium, that the average stock return around earnings announcements is positive. This study examines the earnings announcement premium with a focus on the relationship between stock returns and return volatilities. Our findings can be summarized as follows. First, based on the long-term data including the post financial crisis period, we find that the earnings announcement premium still exists, positive and significant. Second, the announcement premium is positively related to the expected volatility. The positive relationship between the announcement premium and the expected volatility indicates a risk-return tradeoff, suggesting that investors hold on to their stocks expecting that their taking risk is compensated with returns. Third, we find that the announcement premium is inversely related to the realized volatility. The negative relationship is not confined to the group of negative earnings surprises. These results suggest that a dynamic of inverse relationship between returns and volatilities coexists with a risk-return tradeoff around earnings announcements. Extending our study to Asian-Pacific stock market might shed lights on commonalities and differences in international risk-return tradeoff.

Suggested Citation

  • Tsafack, Georges & Becker, Ying & Han, Ki, 2023. "Earnings announcement premium and return volatility: Is it consistent with risk-return trade-off?," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:pacfin:v:79:y:2023:i:c:s0927538x23000951
    DOI: 10.1016/j.pacfin.2023.102029
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    as
    1. Ľuboš Pástor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1789, October.
    2. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    3. Jones, Charles M. & Lamont, Owen & Lumsdaine, Robin L., 1998. "Macroeconomic news and bond market volatility," Journal of Financial Economics, Elsevier, vol. 47(3), pages 315-337, March.
    4. Wenshwo Fang, 2001. "Stock return process and expected depreciation over the Asian financial crisis," Applied Economics, Taylor & Francis Journals, vol. 33(7), pages 905-912.
    5. Bali, Turan G. & Cakici, Nusret, 2008. "Idiosyncratic Volatility and the Cross Section of Expected Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(1), pages 29-58, March.
    6. Steven X. Wei & Chu Zhang, 2006. "Why Did Individual Stocks Become More Volatile?," The Journal of Business, University of Chicago Press, vol. 79(1), pages 259-292, January.
    7. Lehmann, Bruce N., 1990. "Residual risk revisited," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 71-97.
    8. repec:bla:jfinan:v:44:y:1989:i:4:p:871-87 is not listed on IDEAS
    9. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    10. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    11. Cohen, Daniel A. & Dey, Aiyesha & Lys, Thomas Z. & Sunder, Shyam V., 2007. "Earnings announcement premia and the limits to arbitrage," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 153-180, July.
    12. Ken B. Cyree & Dale L. Domian & David A. Louton & Elizabeth J. Yobaccio, 1999. "Evidence of psychological barriers in the conditional moments of major world stock indices," Review of Financial Economics, John Wiley & Sons, vol. 8(1), pages 73-91.
    13. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    14. David Blitz & Matthias X. Hanauer & Pim Vliet, 2021. "The Volatility Effect in China," Journal of Asset Management, Palgrave Macmillan, vol. 22(5), pages 338-349, September.
    15. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    16. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, August.
    17. Cyree, Ken B. & Domian, Dale L. & Louton, David A. & Yobaccio, Elizabeth J., 1999. "Evidence of psychological barriers in the conditional moments of major world stock indices," Review of Financial Economics, Elsevier, vol. 8(1), pages 73-91, June.
    18. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    19. Chen, Xuanjuan & Kim, Kenneth A. & Yao, Tong & Yu, Tong, 2010. "On the predictability of Chinese stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 403-425, September.
    20. Qingfu Liu & Yiuman Tse & Kaixin Zheng, 2021. "The impact of trading behavioral biases on market liquidity under different volatility levels: Evidence from the Chinese commodity futures market," The Financial Review, Eastern Finance Association, vol. 56(4), pages 671-692, November.
    21. Savor, Pavel & Wilson, Mungo, 2014. "Asset pricing: A tale of two days," Journal of Financial Economics, Elsevier, vol. 113(2), pages 171-201.
    22. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    23. Ball, Ray, 1978. "Anomalies in relationships between securities' yields and yield-surrogates," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 103-126.
    24. Kim, Kenneth A. & Nofsinger, John R., 2008. "Behavioral finance in Asia," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 1-7, January.
    25. Ang, Andrew & Liu, Jun, 2007. "Risk, return, and dividends," Journal of Financial Economics, Elsevier, vol. 85(1), pages 1-38, July.
    26. Bernile, Gennaro & Hu, Jianfeng & Tang, Yuehua, 2016. "Can information be locked up? Informed trading ahead of macro-news announcements," Journal of Financial Economics, Elsevier, vol. 121(3), pages 496-520.
    27. Philippe Mueller & Alireza Tahbaz-Salehi & Andrea Vedolin, 2017. "Exchange Rates and Monetary Policy Uncertainty," Journal of Finance, American Finance Association, vol. 72(3), pages 1213-1252, June.
    28. Bryan Kelly & Ľuboš Pástor & Pietro Veronesi, 2016. "The Price of Political Uncertainty: Theory and Evidence from the Option Market," Journal of Finance, American Finance Association, vol. 71(5), pages 2417-2480, October.
    29. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    30. Ali, Ashiq & Chen, Xuanjuan & Yao, Tong & Yu, Tong, 2020. "Can mutual funds profit from post earnings announcement drift? The role of competition," Journal of Banking & Finance, Elsevier, vol. 114(C).
    31. Francesca Brusa & Pavel Savor & Mungo Wilson, 2020. "One Central Bank to Rule Them All," Review of Finance, European Finance Association, vol. 24(2), pages 263-304.
    32. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    33. David O. Lucca & Emanuel Moench, 2015. "The Pre-FOMC Announcement Drift," Journal of Finance, American Finance Association, vol. 70(1), pages 329-371, February.
    34. Savor, Pavel & Wilson, Mungo, 2013. "How Much Do Investors Care About Macroeconomic Risk? Evidence from Scheduled Economic Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 343-375, April.
    35. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
    36. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
    37. Bing Han & Gang Li, 2021. "Information Content of Aggregate Implied Volatility Spread," Management Science, INFORMS, vol. 67(2), pages 1249-1269, February.
    38. Ferhat Akbas, 2016. "The Calm before the Storm," Journal of Finance, American Finance Association, vol. 71(1), pages 225-266, February.
    39. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    40. Barber, Brad M. & De George, Emmanuel T. & Lehavy, Reuven & Trueman, Brett, 2013. "The earnings announcement premium around the globe," Journal of Financial Economics, Elsevier, vol. 108(1), pages 118-138.
    41. Zhanhui Chen & Ralitsa Petkova, 2012. "Does Idiosyncratic Volatility Proxy for Risk Exposure?," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2745-2787.
    42. Mark Wong & Adrian Wai Kong Cheung & Wei Hu, 2021. "When two anomalies meet: Volume and timing effects on earnings announcements," The Financial Review, Eastern Finance Association, vol. 56(2), pages 355-380, May.
    43. Anna Cieslak & Adair Morse & Annette Vissing‐Jorgensen, 2019. "Stock Returns over the FOMC Cycle," Journal of Finance, American Finance Association, vol. 74(5), pages 2201-2248, October.
    44. Kross, W & Schroeder, Da, 1984. "An Empirical-Investigation Of The Effect Of Quarterly Earnings Announcement Timing On Stock Returns," Journal of Accounting Research, Wiley Blackwell, vol. 22(1), pages 153-176.
    45. Gennotte, Gerard & Trueman, Brett, 1996. "The Strategic Timing of Corporate Disclosures," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 665-690.
    46. Manuel Ammann & Michael Verhofen & Stephan Süss, 2009. "Do implied volatilities predict stock returns?," Journal of Asset Management, Palgrave Macmillan, vol. 10(4), pages 222-234, October.
    47. Pavel Savor & Mungo Wilson, 2016. "Earnings Announcements and Systematic Risk," Journal of Finance, American Finance Association, vol. 71(1), pages 83-138, February.
    48. Levy, Haim, 1978. "Equilibrium in an Imperfect Market: A Constraint on the Number of Securities in the Portfolio," American Economic Review, American Economic Association, vol. 68(4), pages 643-658, September.
    49. Charles Cao & Timothy Simin & Jing Zhao, 2008. "Can Growth Options Explain the Trend in Idiosyncratic Risk?," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2599-2633, November.
    50. Owen Lamont & Andrea Frazzini, 2007. "The Earnings Announcement Premium and Trading Volume," NBER Working Papers 13090, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Earnings announcement premium; Return volatility; Risk-return tradeoff; Chinese market;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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