A. Hussain

Predicting Financial Distress: A Comparative Analysis of Explainable Machine Learning Models for Cross‐Market Bankruptcy Prediction

Despite substantial advances in machine‐learning approaches to bankruptcy prediction, less is known about whether explainable models remain reliable across markets and during structural breaks. This study examines that issue by comparing two explainable architectures, TabNet–SHAP and NGBoost–SHAP, for 1‐year‐ahead ba...