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.

How has Financial Distress and Bankruptcy Prediction's publication output changed over time?

Output declined50% over the shown period — from 2 works in 1996 to 1 in 2026.

What are the most-cited papers on Financial Distress and Bankruptcy Prediction?

Where is Financial Distress and Bankruptcy Prediction research published, and who funds it?

How much of the research on Financial Distress and Bankruptcy Prediction is open access?