IDEAS home Printed from https://ideas.repec.org/a/bla/acctfi/v54y2014i2p305-334.html
   My bibliography  Save this article

Objective estimation versus subjective perceptions of earnings patterns and post-earnings-announcement drift

Author

Listed:
  • Allen W. Bathke Jr.
  • Richard M. Morton
  • Matthew Notbohm
  • Tianming Zhang
  • Steven Cahan

Abstract

type="main" xml:id="acfi12012-abs-0001"> We investigate how the market's subjective estimates of autocorrelation in quarterly earnings vary with objective time-series estimates. Our results suggest that investors increasingly underestimate the correlation as the autocorrelation level increases, and as a result, the post-earnings-announcement drift (PEAD) increases with the level of autocorrelation. We further show that the ability of autocorrelation to explain variation in the PEAD is robust to alternative explanations based on risk and institutional factors. Additional analysis indicates that the market's inefficiency in assessing the existence and magnitude of autocorrelation (and the related impact on PEAD) is inversely related to the richness of the information environment.

Suggested Citation

  • Allen W. Bathke Jr. & Richard M. Morton & Matthew Notbohm & Tianming Zhang & Steven Cahan, 2014. "Objective estimation versus subjective perceptions of earnings patterns and post-earnings-announcement drift," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(2), pages 305-334, June.
    • Handle: RePEc:bla:acctfi:v:54:y:2014:i:2:p:305-334
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/acfi.2014.54.issue-2
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Josef Fink & Stefan Palan & Erik Theissen, 2020. "Earnings Autocorrelation and the Post-Earnings-AnnouncementDrift – Experimental Evidence," Working Paper Series, Social and Economic Sciences 2020-03, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    2. Fink, Josef & Palan, Stefan & Theissen, Erik, 2020. "Earnings autocorrelation and the post-earnings-announcement drift: Experimental evidence," CFR Working Papers 20-10, University of Cologne, Centre for Financial Research (CFR).
    3. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    4. Jonnergård, Karin & von Koch, Christopher & Nilsson, Ola, 2020. "Information environment – An exploration and clarification of the concept based on prior literature," Advances in accounting, Elsevier, vol. 50(C).
    5. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:acctfi:v:54:y:2014:i:2:p:305-334. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/aaanzea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.