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The Post‐earnings Announcement Drift: A Pre‐earnings Announcement Effect? A Multi‐period Analysis

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  • A. William Richardson
  • Kevin Veenstra

Abstract

For many years, the post‐earnings announcement drift (PEAD) has been accepted as an anomaly to the efficient markets hypothesis. This drift subsequent to earnings announcements has been ascribed to the incomplete incorporation by the market of the information in these earnings announcements. Interestingly, over the past five decades of extensive research, no rational economic explanation of the PEAD has been found. In addition, there has been no specific consideration of the effect of new economic information subsequent to the earnings announcements. Our multi‐year examination of the cumulative abnormal return (CAR) incorporates the effect of economic information subsequent to the earnings announcement of traditional PEAD studies. Our analysis shows that a drift of CAR versus time can arise without recourse to invoking market inefficiency. Our results are consistent for three samples covering the period 1974–2016. We do not assert that we prove that there is no component of the traditional PEAD due to market inefficiency. Rather, our results show that studies to determine whether there is a market inefficiency component of the PEAD should use a multi‐period approach in order to account for the effect of economic information subsequent to the earnings announcements and thereby focus more precisely upon the cause of the PEAD reported in previous research studies.

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  • A. William Richardson & Kevin Veenstra, 2022. "The Post‐earnings Announcement Drift: A Pre‐earnings Announcement Effect? A Multi‐period Analysis," Abacus, Accounting Foundation, University of Sydney, vol. 58(4), pages 648-678, December.
    • Handle: RePEc:bla:abacus:v:58:y:2022:i:4:p:648-678
    DOI: 10.1111/abac.12265
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    1. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    2. Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
    3. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    4. Alon Brav & J.B. Heaton & Si Li, 2010. "The Limits of the Limits of Arbitrage," Review of Finance, European Finance Association, vol. 14(1), pages 157-187.
    5. Rendleman, Richard J, Jr & Jones, Charles P & Latane, Henry A, 1987. "Further Insight into the Standarized Unexpected Earnings Anomaly: Size and Serial Correlation Effects," The Financial Review, Eastern Finance Association, vol. 22(1), pages 131-144, February.
    6. Zhang, Qi & Cai, Charlie X. & Keasey, Kevin, 2013. "Market reaction to earnings news: A unified test of information risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 251-266.
    7. Jegadeesh, Narasimhan & Livnat, Joshua, 2006. "Revenue surprises and stock returns," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 147-171, April.
    8. Jon A. Garfinkel & Jonathan Sokobin, 2006. "Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 85-112, March.
    9. Ball, Ray, 1992. "The earnings-price anomaly," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 319-345, August.
    10. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    11. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    12. Lee, Charles M. C., 1992. "Earnings news and small traders : An intraday analysis," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 265-302, August.
    13. Smith Bamber, Linda & Christensen, Theodore E. & Gaver, Kenneth M., 2000. "Do we really 'know' what we think we know? A case study of seminal research and its subsequent overgeneralization," Accounting, Organizations and Society, Elsevier, vol. 25(2), pages 103-129, February.
    14. Luzi Hail & Mark Lang & Christian Leuz, 2020. "Reproducibility in Accounting Research: Views of the Research Community," Journal of Accounting Research, Wiley Blackwell, vol. 58(2), pages 519-543, May.
    15. Foster, F Douglas & Viswanathan, S, 1996. "Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-1478, September.
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