Gofaone Ngewa

Predicting Financial Distress of Chinese Listed Firms Using Machine Learning Models: A Comparative Study

The results demonstrate that ensemble methods, particularly Gradient Boosting Machine, achieve superior predictive accuracy compared to traditional statistical approaches and contribute to both academic literature and practical applications in credit risk assessment within the Chinese regulatory context.