Business failure prediction is a topic of outmost importance for a lot of people. Therefore, many prediction models have been developed but most of them are based solely on financial ratios constructed from published accounting data, which are generally easy to obtain. In Belgium, however, corporate financial data are not always available. This situation highlights the necessity of using non-financial information to predict bankruptcy. The objective of this study is to investigate the use and potential of non-financial information for bankruptcy prediction. Our models are constructed with the UTADIS method, logistic regression and decision trees.
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