An empirical evaluation of four financial distress prediction models for Greek firms: is there a 'most appropriate' model?
by Dimitrios P. Charalambidis, Dimitrios L. Papadopoulos
International Journal of Managerial and Financial Accounting (IJMFA), Vol. 2, No. 1, 2010

Abstract: In this paper, four financial distress prediction models for Greek firms are tested. Relevant analysis is based on a sample of 37 financially distressed (18 listed and 19 non-listed) and 226 non-distressed (48 listed and 178 non-listed) firms. The superiority of a particular model relates to its predictive accuracy and expected loss of misclassification errors in a range of likely values for the prior probability of financial distress and the cost ratio of Types 1 and 2 errors. We find that: a) rates of correct predictions are unstable when models are used to predict financial distress in periods following the one that was considered to estimate them; b) if a model is found to be the most superior, it does so for almost all likely values of cost and prior probabilities ratios; c) no single model can be considered absolutely appropriate to predict the financial distress of Greek firms as superiority of models differs between non-listed and listed firms.

Online publication date: Sat, 03-Apr-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Managerial and Financial Accounting (IJMFA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com