IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v11y1983i4p355-364.html
   My bibliography  Save this article

The prediction of corporate failures

Author

Listed:
  • Dambolena, IG

Abstract

The prediction of corporate failures has received widespread attention over the past 15 years. Numerous articles on the subject in accounting and financial journals attest to this fact, stating that the failure of a business organization often has significant economic effects for its owners, creditors and employees. Past efforts have been quite successful in classifying firms as bankrupt or non-bankrupt ex-post, but much remains to be done in terms of developing better predictive models. This paper is intended to review the literature and to focus on some problems where research seems likely to yield improved models. It starts with a comprehensive, though not exhaustive, guided tour of the bibliography. It then discusses some recent attempts to improve the effectiveness of these models. Finally it points to some promising areas for future research.

Suggested Citation

  • Dambolena, IG, 1983. "The prediction of corporate failures," Omega, Elsevier, vol. 11(4), pages 355-364.
  • Handle: RePEc:eee:jomega:v:11:y:1983:i:4:p:355-364
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0305-0483(83)90028-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    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:eee:jomega:v:11:y:1983:i:4:p:355-364. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.