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.
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 language | English |
|---|---|
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Journal of Combinatorics, Information and System Sciences |
| Volume | 27 |
| Issue number | 1-4 |
| Publication status | Published - 2002 |