Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python
Explores credit-risk modelling theory, diagnostics, and Python-based numerical recipes for practical implementation in finance.
About This Book
This book presents the theoretical foundations of credit-risk modelling along with diagnostic tools for model evaluation.
Readers will find practical examples that demonstrate how to apply these concepts in real-world settings.
The text includes numerical recipes implemented in Python to support hands-on learning and implementation.
Content is structured to bridge academic theory with practical application for finance professionals and researchers.
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