This article presents a comparative analysis of machine learning models for business failure
prediction. Bankruptcy prediction is crucial in assessing financial risks and making informed …

The bankruptcy prediction model (BPM) is eminently essential for financial institutions to
verify the creditworthiness of companies or management. The inability to accurately predict …

Bankruptcy prediction is an important problem in finance, since successful predictions would
allow stakeholders to take early actions to limit their economic losses. In recent years many …

There is an increasing interest in machine learning for bankruptcy prediction with more and
more researchers contributing to the literature. Although there is a considerable amount of …

In this study, we apply several advanced machine learning techniques including extreme
gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to …

Corporate bankruptcy and financial distress prediction is a topic of interest for a variety of
stakeholders, including businesses, financial institutions, investors, regulatory bodies …

Bankruptcy is a legal procedure that claims a person or organization as a debtor. It is
essential to ascertain the risk of bankruptcy at initial stages to prevent financial losses. In this …

Bankruptcy prediction has received a growing interest in corporate finance and risk
management recently. Although numerous studies in the literature have dealt with various …

Predicting corporate bankruptcy is one of the fundamental tasks in credit risk assessment. In
particular, since the 2007/2008 financial crisis, it has become a priority for most financial …

Bibliometric analysis is an effective method to carry out quantitative study of academic output
to address the research trends on a given area of investigation through analysing existing …