arXiv · 2508.01851
SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model
Abstract
The increasing development in the consumer credit card market brings substantial regulatory and risk management challenges. The advanced machine learning models applications bring concerns about model transparency and fairness for both financial institutions and regulatory departments. In this study, we evaluate the consistency of one commonly used Explainable AI (XAI) technology, SHAP, for variable explanation in credit card probability of default models via a case study about credit card default prediction. The study shows the consistency is related to the variable importance level and hence provides practical recommendation for credit risk management
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Luyun Lin, Yiqing Wang. 2025-08-03. SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model. https://doi.org/10.3390/risks13120238
Cite the original work for its findings. Save a collection to share your selection of sources.