Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python
Credit-Risk Modelling offers a comprehensive introduction to the theory, evaluation, and implementation of credit-risk models. Covering foundational concepts, diagnostic tools, practical examples, and numerical recipes in Python, it serves readers looking for a rigorous yet applied resource in financial modelling and computational analysis.
About This Book
Credit-Risk Modelling presents a structured treatment of the theory and practice of modelling credit risk.
The book covers theoretical foundations alongside diagnostic tools for examining and evaluating models.
Practical examples connect the concepts to applied modelling work.
Numerical recipes in Python provide a computational component for readers working with credit-risk methods and implementations.
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