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Conservatism and Cross‐Sectional Variation in the Post–Earnings Announcement Drift

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  • GANAPATHI NARAYANAMOORTHY

Abstract

Accounting conservatism allows me to identify a previously undocumented source of predictable cross‐sectional variation in Standardized Unexpected Earnings' autocorrelations viz. the sign of the most recent earnings realization and present evidence that the market ignores this variation (“loss effect”). It is possible to earn returns higher than from the Bernard and Thomas (1990) strategy by incorporating this feature. Additionally, the paper shows that the “loss effect” is different from the “cross quarter” effect shown by Rangan and Sloan (1998) and it is possible to combine the two effects to earn returns higher than either strategy alone. Thus, the paper corroborates the Bernard and Thomas finding that stock prices fail to reflect the extent to which quarterly earnings series differ from a seasonal random walk and extends it by showing that the market systematically underestimates time‐series properties resulting from accounting conservatism.

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  • Ganapathi Narayanamoorthy, 2006. "Conservatism and Cross‐Sectional Variation in the Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(4), pages 763-789, September.
    • Handle: RePEc:bla:joares:v:44:y:2006:i:4:p:763-789
    DOI: 10.1111/j.1475-679X.2006.00218.x
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    2. Ho, Tuan Q. & Nguyen, Y. & Tran, Hieu, 2024. "The impact of insider ownership and institutional ownership on post-earnings-announcement-drift: Evidence from Vietnam," Research in International Business and Finance, Elsevier, vol. 70(PB).
    3. Haiwei Chen & Ansley Chua & Changha Jin, 2013. "Analyst Forecasting Errors in REITs," International Real Estate Review, Asian Real Estate Society, vol. 16(1), pages 48-67.
    4. Zhang, Sijia & Gregoriou, Andros & Wu, He, 2024. "Asymmetric post earnings announcement drift and order flow imbalance: The impact on stock market returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. He, Shuoyuan & Narayanamoorthy, Ganapathi (Gans), 2020. "Earnings acceleration and stock returns," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    6. Truong, Cameron, 2010. "Post earnings announcement drift and the roles of drift-enhanced factors in New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 18(2), pages 139-157, April.
    7. Marek Sojka, 2021. "PEAD na polskim rynku akcji," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 143-166.
    8. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    9. Ruch, George W. & Taylor, Gary, 2015. "Accounting conservatism: A review of the literature," Journal of Accounting Literature, Elsevier, vol. 34(C), pages 17-38.
    10. Balakrishnan, Karthik & Bartov, Eli & Faurel, Lucile, 2010. "Post loss/profit announcement drift," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 20-41, May.
    11. Jacob Thomas & Frank Zhang & Wei Zhu, 2021. "Dark Trading and Post-Earnings-Announcement Drift," Management Science, INFORMS, vol. 67(12), pages 7785-7811, December.
    12. Haifeng You & Xiao‐Jun Zhang, 2011. "Limited attention and stock price drift following earnings announcements and 10‐K filings," China Finance Review International, Emerald Group Publishing Limited, vol. 1(4), pages 358-387, September.
    13. Klein, Olga & Klein, Daniel, 2024. "Institutional consensus after earnings announcements: Information or crowding?," International Review of Financial Analysis, Elsevier, vol. 95(PA).
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    15. Heejeong Shin & Hyejeong Shin & Su-In Kim, 2019. "The Market Sentiment Trend, Investor Inertia, and Post-Earnings Announcement Drift: Evidence from Korea’s Stock Market," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
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