Financial Distress and Bankruptcy Prediction

This cluster of papers focuses on the development and comparison of machine learning models, including neural networks, support vector machines, and ensemble methods, for predicting bankruptcy and assessing credit risk. The research explores various techniques for financial distress prediction, credit scoring, and risk assessment in both corporate and consumer contexts.

Journals publishing in this area

1

Journal of Banking & Finance

ISSN 0378-4266164 articles in this topic

304h-index

3.84Impact

7.5KArticles

502.8KCitations