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 …

Credit risk models, particularly those seeking to understand signals given by companies
close to bankruptcy, are under constant discussion and updating. Statistical models are …

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 …

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 …

Recently, ensemble-based machine learning models have been widely used and have
demonstrated their efficiency in bankruptcy prediction. However, these algorithms are black …

Bankruptcy prediction problem has been intensively studied over the past decades. From
traditional statistical models to state of the art machine learning models, various predictive …

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 …

There has been intensive research from academics and practitioners regarding models for
predicting bankruptcy and default events, for credit risk management. Seminal academic …

Corporate bankruptcy prediction has attracted significant research attention from business
academics, regulators and financial economists over the past five decades. However, much …

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 …