IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/3338.html
   My bibliography  Save this paper

The Information Content of Earnings Announcements: New Insights from Intertemporal and Cross-Sectional Behavior

Author

Listed:
  • Beaver, William H.

    (Stanford University)

  • McNichols, Maureen

    (Stanford University)

  • Wang, Zach Z.

    (University of IL)

Abstract

This study examines the information content of quarterly earnings announcements. We first use a nonparametric approach to investigate whether quarterly earnings announcements are informative between 1971 and 2011 and find unequivocal evidence that earnings announcements convey significantly more information relative to non-announcement periods. We also find that the information content increases over time with a dramatic increase from 2001 onward, a period that includes the implementation of Sarbanes Oxley reforms and the worst economic downturn since the Great Depression. We then investigate cross-sectional variation in information content. We find that the information content of earnings announcements is positively associated with profitability, firm size and analyst coverage.

Suggested Citation

  • Beaver, William H. & McNichols, Maureen & Wang, Zach Z., 2015. "The Information Content of Earnings Announcements: New Insights from Intertemporal and Cross-Sectional Behavior," Research Papers 3338, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:3338
    as

    Download full text from publisher

    File URL: http://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/406136
    Download Restriction: no
    ---><---

    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:ecl:stabus:3338. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.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.