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Does Post-Earnings-Announcement Drift in Stock Prices Reflect a Market Inefficiency? A Stochastic Dominance Approach

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  • Bernard, Victor L
  • Seyhun, H Nejat

Abstract

This paper uses a stochastic dominance approach to test for market efficiency following earnings announcements. We find that the stocks that recently announced good earnings news stochastically dominate those that recently announced bad news. The results cast serious doubt on any belief that asset pricing model misspecifications might explain post-earnings-announcement drift. Copyright 1997 by Kluwer Academic Publishers

Suggested Citation

  • Bernard, Victor L & Seyhun, H Nejat, 1997. "Does Post-Earnings-Announcement Drift in Stock Prices Reflect a Market Inefficiency? A Stochastic Dominance Approach," Review of Quantitative Finance and Accounting, Springer, vol. 9(1), pages 17-34, July.
    • Handle: RePEc:kap:rqfnac:v:9:y:1997:i:1:p:17-34
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    Citations

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    Cited by:

    1. Bin Wang & Wonseok Choi & Ibrahim Siraj, 2018. "Local investor attention and post-earnings announcement drift," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 219-252, July.
    2. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2010. "Market efficiency of oil spot and futures: A mean-variance and stochastic dominance approach," Energy Economics, Elsevier, vol. 32(5), pages 979-986, September.
    3. Baochen Yang & Yifang Liu & Yunpeng Su, 2023. "Earnings communication conferences and post‐earnings‐announcement drift: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2145-2185, June.
    4. Ron Bird & Daniel Choi & Danny Yeung, 2014. "Market uncertainty, market sentiment, and the post-earnings announcement drift," Review of Quantitative Finance and Accounting, Springer, vol. 43(1), pages 45-73, July.
    5. Wong, Wing-Keung & Phoon, Kok Fai & Lean, Hooi Hooi, 2008. "Stochastic dominance analysis of Asian hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 204-223, June.
    6. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2010. "Investor preferences for oil spot and futures based on mean-variance and stochastic dominance," Econometric Institute Research Papers EI 2010-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Hooi Lean & Kok Phoon & Wing-Keung Wong, 2013. "Stochastic dominance analysis of CTA funds," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 155-170, January.
    8. Thomas C. Chiang & Hooi Hooi Lean & Wing-Keung Wong, 2008. "Do REITs Outperform Stocks and Fixed-Income Assets? New Evidence from Mean-Variance and Stochastic Dominance Approaches," JRFM, MDPI, vol. 1(1), pages 1-40, December.
    9. Mooreland, Jay, II, 2011. "The Irrational Investor’s Risk Profile," Master's Theses and Plan B Papers 107787, University of Minnesota, Department of Applied Economics.
    10. Nicole Thorne Jenkins & Michael D. Kimbrough & Juan Wang, 2016. "The extent of informational efficiency in the credit default swap market: evidence from post-earnings announcement returns," Review of Quantitative Finance and Accounting, Springer, vol. 46(4), pages 725-761, May.
    11. repec:grz:wpsses:2020-04 is not listed on IDEAS
    12. Qi Zhang & Charlie Cai & Kevin Keasey, 2014. "The profitability, costs and systematic risk of the post-earnings-announcement-drift trading strategy," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 605-625, October.
    13. Xu Guo & Xuejun Jiang & Wing-Keung Wong, 2017. "Stochastic Dominance and Omega Ratio: Measures to Examine Market Efficiency, Arbitrage Opportunity, and Anomaly," Economies, MDPI, vol. 5(4), pages 1-16, October.
    14. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CARF F-Series CARF-F-201, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    16. Peng-Chia Chiu & Timothy D. Haight, 2020. "Investor learning, earnings signals, and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 671-698, February.
    17. Claire Y. C. Liang & Rengong Zhang, 2020. "Post-earnings announcement drift and parameter uncertainty: evidence from industry and market news," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 695-738, August.
    18. Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.

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