IDEAS home Printed from https://ideas.repec.org/a/spr/reaccs/v17y2012i4d10.1007_s11142-011-9180-5.html
   My bibliography  Save this article

Reputation management and the disclosure of earnings forecasts

Author

Listed:
  • Anne Beyer

    (Stanford University)

  • Ronald A. Dye

    (Northwestern University)

Abstract

In this paper, managers differ from each other in terms of the probability that they are “forthcoming” (and disclose all the earnings forecasts they receive) or “strategic” (and disclose the earnings forecasts they receive only when it is in their self-interest to do so). Strategic managers choose whether to disclose their forecasts based on both the disclosure’s effects on their firms’ stock price and on their reputation among investors for being forthcoming. Our findings include: strategic managers can build a reputation for being forthcoming by disclosing unfavorable forecasts; managers’ incentive to build a reputation for being forthcoming may be so strong that they disclose even the most negative forecasts; as managers become more concerned about their reputation: (a) the current price of the firm in the event the manager makes no forecast increases; (b) managers who have a high probability of behaving strategically (as forthcoming) in the future issue forecasts more (less) often in the present.

Suggested Citation

  • Anne Beyer & Ronald A. Dye, 2012. "Reputation management and the disclosure of earnings forecasts," Review of Accounting Studies, Springer, vol. 17(4), pages 877-912, December.
  • Handle: RePEc:spr:reaccs:v:17:y:2012:i:4:d:10.1007_s11142-011-9180-5
    DOI: 10.1007/s11142-011-9180-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11142-011-9180-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11142-011-9180-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:spr:reaccs:v:17:y:2012:i:4:d:10.1007_s11142-011-9180-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.