Discriminant Methods For Bankruptcy Prediction - Theory And Applications

Date Added: Jul 2010
Format: PDF

Discriminant analysis consists of assigning an individual to two (or more) distinct populations, on the basis of observations of several characters of the individuals and a sample of observations of these characters from the populations. R. A. Fisher suggested a linear function of variables representing different characters, called linear discriminant function, for classifying an individual into one of the two populations. E. I. Altman adapted this approach to identify bankruptcy risk of corporations. Altman's model of bankruptcy was estimated for various countries, thereby for Polish economy. Some results of estimation and interpretation of Altman's model for Polish economy are presented in the paper.