Predicting corporate failure-- Some results for the UK corporate sector
A large number of authors have developed statistical models, which are based solely on conventional financial ratios constructed from published accounting data, with the aim of predicting corporate failure as evidenced by the event of 'bankruptcy'. The purpose of this paper is to report some empirical results for a study of the UK corporate sector in which corporate failure is predicted employing a statistical model which incorporates both conventional accounting ratios and a number of new variables which are not derived from profit and loss accounts and balance sheet items, but which are computed from annual company reports and accounts. The empirical results suggesting that our new variables enhance the predictive power of models which employ conventional financial ratios only.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 14 (1986)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description|
|Order Information:|| Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional|
When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:14:y:1986:i:1:p:5-12. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.