IDEAS home Printed from https://ideas.repec.org/a/ids/ijaape/v19y2023i4p510-536.html
   My bibliography  Save this article

Long-term analysts' forecasts and real earnings management

Author

Listed:
  • Wael Aguir
  • Carroll H. Griffin
  • Linxiao Liu
  • Zhenfeng Liu

Abstract

This paper investigates the implications of earnings manipulations through real activities for financial analysts. In particular, it examines the extent to which analysts consider the effects of real earnings management on company performance when they make long-term earnings growth projections. Our results show analysts issue lower long-term earnings growth forecasts for firms with higher levels of real earnings management. In addition, we find analysts produce less accurate long-term earnings forecasts in the presence of real activities manipulation, and that the forecast bias increases with the level of real earnings management. Our results from the sensitivity tests confirm our findings that financial analysts are able to recognise real earnings management and penalise firms that engage in it when they issue long-term earnings growth forecasts.

Suggested Citation

  • Wael Aguir & Carroll H. Griffin & Linxiao Liu & Zhenfeng Liu, 2023. "Long-term analysts' forecasts and real earnings management," International Journal of Accounting, Auditing and Performance Evaluation, Inderscience Enterprises Ltd, vol. 19(4), pages 510-536.
  • Handle: RePEc:ids:ijaape:v:19:y:2023:i:4:p:510-536
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=134924
    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.

    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:ids:ijaape:v:19:y:2023:i:4:p:510-536. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=41 .

    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.