This paper deals with the ever-increasing issue of bankruptcy prediction in distressed economies. Specifically, aim this study is to create a model by establishing new set predictor variables, which achieves significant discrimination among listed manufacturing firms Greece, using multivariate discriminant analysis (MDA). An equally balanced matched sample 28 Greek-listed was used covering peri...

Corporate bankruptcy prediction is a usual problem found in financing and management. In this paper a new approach is proposed based on Machine Learning and Fuzzy Logic. Our attempt, finally, results in a useful fuzzy system, which can be used in order to classify firms into efficient and inefficient ones.

I combine two fields of research on default prediction by empirically testing a bankruptcy prediction function where unlisted firms are evaluated on the basis of both their financial statement analysis and the macroeconomic environment. This combination is found to improve the default prediction compared to financial statements alone. The GDP-gap, a production index and the money supply M1 in c...

The main objective of a financial distress prediction model is to generate early warning signals.In this paper, we compare five bankruptcy prediction models, logit ,ANN ,CART, C5.0 and GP decision tree. Our empirical results reveal that the GP decision tree can outperform all the classifiers either in overall percentage of correct or k-fold cross validation test in out-sample. That is to say, G...

The problems associated with the application of bankruptcy prediction models are a wide range. A review literature shows lack uniform definition bankruptcy. existing diversity in definitions complicates comparability different studies, hence why it is considered appropriate to take specific that based on into account when applying them practice. selection companies various studies has also been...

This paper examines the usefulness of logit regression in forecasting consumer bankruptcy households using an imbalanced dataset. The research on prediction is paramount importance as it aims to build statistical models that can identify consumers a difficult financial situation may lead bankruptcy. In face current global pandemic crisis, future household finances uncertain. change macroeconomi...