Bayesian clustering for portfolio credit risk
Bayesian clustering for portfolio credit risk – Journal of Credit Risk Skip to main content End of drawer navigation content Bayesian clustering forms data-driven borrower risk buckets. Weighted memberships capture diversified borrower exposures. Improves loss, VaR, and ES estimates vs. fixed buckets. Quantifies uncertainty in PDs, correlations, and cluster weights. Credit risk models for loan […]