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 …

With improved machine learning models, studies on bankruptcy prediction show improved
accuracy. This paper proposes three relatively newly-developed methods for predicting …

The area of corporate bankruptcy prediction attains high economic importance, as it affects
many stakeholders. The prediction of corporate bankruptcy has been extensively studied in …

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 has long been a significant issue in finance and management
science, which attracts the attention of researchers and practitioners. With the great …

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 …

Purpose: The aim of this paper is to conduct a literature review of corporate bankruptcy
prediction models, on the basis of the existing international academic literature in the …

Belgium has faced an important number of corporate bankruptcies during the last decade.
The aim of this paper is to develop a model that predicts bankruptcy using three financial …

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