Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller
The Altman Z-Score model is one of the most famous models för predicting bankruptcy and measuring financial distress for companies. It uses multivariate discriminant analysis to classify companies in three different groups based on their calculated Z-Score. The purpose of this thesis is to analyze how well the Altman Z-Score model for emerging markets performs, to then attempt to create a new bina