. Following bankruptcy reform, wealthier households under 50 reduced their arrears between 2004 and 2007. During the sub …

This study aims to develop nine different consumer bankruptcy forecasting models with the help of three types of … following questions - (a) Are the three commonly implemented types of neural networks useful in forecasting personal bankruptcy … maximum effectiveness?; (d) Are the newly developed types of ratios effective in forecasting personal risk bankruptcy? The …

Discussions on personal bankruptcy regulations are usually focused on the controversial effects of leniency on society … limited to one-time legislative changes or some elements of the US personal bankruptcy system. In contrast, we create a … composite index of personal bankruptcy legislations. We calculate the composite index for 25 EU countries and the US as a …

This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an … imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical … models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of …

environment. That is why the problem of insolvency and bankruptcy prediction has been the subject of numerous studies focused on … effectively used in practice to analyze and signal the risk of insolvency and bankruptcy of a construction firms. Also, the …Prediction insolvency is one of the most important issues during creditworthiness assessment, especially in the turmoil …

Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing … deep learning models for corporate bankruptcy forecasting using textual disclosures. The study constructed a comprehensive … study model for predicting bankruptcy based on listed companies in Kenya. The study population included all 64 listed …