A Hybrid Model for Financial distress Prediction

Kuldeep Kumar, Clarence Tan

Research output: Contribution to journalArticleResearchpeer-review

Abstract

in view of the failure of many high profile firms, bankruptcy
prediction has become a topic of high interest. In this paper we
have briefly reviewed the various techniques for the financial
distress prediction. These techniques consist of statistical'tech¬
niques like logit and probit models, multiple discriminant
analysis, multivariate cusum methods etc. and Artificial Neu¬
ral Network techniques. We have used some of these techniques .
to over 1000 us companies which consisted of a mixture of
surviving and failed firms. We have developed a hybrid model
for predicting financial distress.
Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalJournal of Combinatorics, Information and System Sciences
Volume27
Issue number1-4
Publication statusPublished - 2002

Fingerprint Dive into the research topics of 'A Hybrid Model for Financial distress Prediction'. Together they form a unique fingerprint.

Cite this