Wielowymiarowa analiza bankructwa przedsiębiorstw w przemyśle drzewnym

The article describes the accuracy of Altman and Mączyńska predictive models. The research material consisted only of financial economic reports from wood−furniture sector for years 2003−2012. Multiple discriminant analysis (MDA) was the main method applied in the study and which was used for three years in advance before bankruptcy. To evaluate the accuracy of the analysed models, the companies classification matrix and the odds ratio were used. Obtained results showed higher prediction accuracy of Mączyńska model. Moreover, comparing with the Altman model, Mączyńska system was better adapted as a multiple discriminant analysis model allowing forecasting of bankruptcy and continued functioning of companies in the wood sector.