IDEAS home Printed from https://ideas.repec.org/a/spr/reaccs/v14y2009i4d10.1007_s11142-008-9076-1.html
   My bibliography  Save this article

Team earnings forecasting

Author

Listed:
  • Lawrence D. Brown

    (Georgia State University)

  • Artur Hugon

    (Georgia State University)

Abstract

While brokerage houses use both teams of sell-side analysts and individual analysts to conduct earnings research, there is no empirical research examining whether teams and individuals differ with regard to their forecasting performance or purpose. We first examine the most-often researched dimension of forecasting performance, earnings forecast accuracy, and show that teams are less accurate than individual analysts in general and their own individual team members in particular. We conjecture that teams focus their efforts on an alternative dimension of forecasting performance, timeliness, and show that team forecasts are timelier than those of individual analysts in general and their own individual team members in particular. Consistent with the notion that teams trade-off forecast accuracy for timeliness to comply with a market research demand, we show that team forecast revisions are associated with larger market responses than those of individuals. Finally, we illuminate the nature of team assignments by documenting that the firms that teams follow are in greater financial distress and larger in size.

Suggested Citation

  • Lawrence D. Brown & Artur Hugon, 2009. "Team earnings forecasting," Review of Accounting Studies, Springer, vol. 14(4), pages 587-607, December.
  • Handle: RePEc:spr:reaccs:v:14:y:2009:i:4:d:10.1007_s11142-008-9076-1
    DOI: 10.1007/s11142-008-9076-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11142-008-9076-1
    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/s11142-008-9076-1?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

    ;
    ;
    ;
    ;

    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:14:y:2009:i:4:d:10.1007_s11142-008-9076-1. 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.