Credit Risk Modeling
This comprehensive course equips learners with the knowledge and practical tools to analyze, evaluate, and apply key credit risk modeling techniques used in modern financial institutions. Through a blend of theoretical frameworks and real-world case studies, learners will explore foundational concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing into structural models like Merton’s approach and market-based credit assessment methods.
Participants will also construct and interpret Altman Z-scores to assess bankruptcy risk, and apply credit …
Watch on Coursera ↗
(saves to browser)
DeepCamp AI