Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python (Bolder David Jamieson)(Pevná vazba)

Demonstrates a broad range of state-of-the-art credit-risk models and underscores their interlinkages Includes extensive Python code to bring the models, diagnostic tools, and estimation of key inputs parameters to life Combination of mathematical foundations and practical Python code implementation enriches the reader's understanding and competence in this important
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