METHODS OF CLASSIFICATION MODELS FOR ENTERPRISES INSOLVENCY PREDICTION

Abstract

The thesis attempts to create models of standard classification which would enable to predict a bankruptcy of enterprises. Economic aspects of bankruptcy have been presented as well as causes of it. The attention has been devoted to the methods of bankruptcy prediction with emphasis on the discriminant analysis and logit models. The thesis contains a review of literature concerning existing models of early warning. Description and the estimation’s results of own models of bankruptcy have been included in the chapter based on research. It has also presented results of the verification of obtained functional models based on a sample validation.