Discriminant Methods for Bankruptcy Prediction - Theory and Applications
Articles
Józef Pociecha
Cracow University of Economics
Published 2005-12-01
https://doi.org/10.15388/Ekon.2005.17534
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How to Cite

Pociecha J. (2005) “Discriminant Methods for Bankruptcy Prediction - Theory and Applications”, Ekonomika, 72, pp. 77–83. doi: 10.15388/Ekon.2005.17534.

Abstract

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. Methodological problems of discriminant analysis, especially fulfilling the basic assumptions, the analytical form of the discriminant function, the stability of the model and the estimation problems are also discussed.

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