Economics at your fingertips  

Prediction of Financial Failure With Artificial Neural Network Technology and an Empirical Application on Publicly Held Companies

Birol Yildiz

Istanbul Stock Exchange Review, 2001, vol. 5, issue 17, 47-62

Abstract: Multivariate statistical techniques are used widely and successfully in financial failure prediction models. On the other hand, the existing applications of multivariate statistical techniques on financial failure pay insufficient attention to assumptions of these techniques. Therefore, some methodological problems arise about generalization of the models that are developed with in multivariate statistical techniques. Artificial Neural Network is an alternative technology to predict financial failure. This study indicated that neural networks provided better results then multivariate discriminant analysis in prediction of financial failure.

Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in Istanbul Stock Exchange Review from Research and Business Development Department, Borsa Istanbul Contact information at EDIRC.
Bibliographic data for series maintained by Ahmet Palu ().

Page updated 2019-12-10
Handle: RePEc:bor:iserev:v:5:y:2001:i:17:p:47-62