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Intra†Industry Information Transfers and the Post†Earnings Announcement Drift

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  • Tunde Kovacs

Abstract

This study examines the role of intra†industry information transfers in the analyst forecast†based post†earnings announcement drift. I find that subsequent same†industry†peer earnings announcements influence a firm's post†earnings announcement drift if these subsequent announcements confirm the firm's initial earnings surprise and the firm's industry exhibits ex ante positive (common effect) intra†industry information transfers. The results suggest that underreaction to industry†specific information contributes to analyst forecast†based post†earnings announcement drift.L'auteure étudie le rôle du transfert intrasectoriel de l'information dans le mouvement réactif postérieur à l'annonce des résultats fondé sur les prévisions des analystes. Elle constate que les annonces de résultats subséquentes des sociétés appartenant au même secteur influent sur le mouvement réactif postérieur à l'annonce des résultats d'une société, si ces annonces subséquentes confirment les résultats inattendus initiaux de la société et que le secteur d'activité auquel elle appartient se caractérise au départ par des transferts intrasectoriels de l'information positive. L'auteure conclut que la réaction mitigée à l'information sectorielle contribue au mouvement réactif postérieur à l'annonce des résultats fondé sur les prévisions des analystes.

Suggested Citation

  • Tunde Kovacs, 2016. "Intra†Industry Information Transfers and the Post†Earnings Announcement Drift," Contemporary Accounting Research, John Wiley & Sons, vol. 33(4), pages 1549-1575, December.
  • Handle: RePEc:wly:coacre:v:33:y:2016:i:4:p:1549-1575
    DOI: 10.1111/1911-3846.12210
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    Cited by:

    1. Baker, H. Kent & Ni, Yang & Saadi, Samir & Zhu, Hui, 2019. "Competitive earnings news and post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 331-343.
    2. Tao Chen, 2022. "Delayed informed trades and opinion divergence: Evidence from earnings releases," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4556-4574, October.
    3. Feng Dong, 2020. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 467-488, September.
    4. Bergsma, Kelley & Tayal, Jitendra, 2020. "Quarterly earnings announcements and intra-industry information transfer from the Pacific to the Atlantic," International Review of Financial Analysis, Elsevier, vol. 70(C).
    5. repec:grz:wpsses:2020-04 is not listed on IDEAS
    6. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    7. 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.
    8. Feng Dong, 0. "Noise-driven abnormal institutional investor attention," Journal of Asset Management, Palgrave Macmillan, vol. 0, pages 1-22.
    9. Richard J. Butler & Gene Lai & Craig Merrill, 2024. "Insurers’ and banks’ market connectedness: generalized event study estimates from random forest residuals regression," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(4), pages 682-718, October.
    10. Martineau, Charles, 2021. "Rest in Peace Post-Earnings Announcement Drift," SocArXiv z7k3p, Center for Open Science.

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