Credit-Risk Modelling PDF – Free Download

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Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python pdf offers a fresh look at what would have otherwise been a jaded topic. The author of Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python pdf book draws on a vast knowledge bank of insights and experience to execute this work.

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

Publisher ‏ : ‎ Springer; Softcover reprint of the original 1st ed. 2018 edition (January 12, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 719 pages
ISBN-10 ‏ : ‎ 3030069001
ISBN-13 ‏ : ‎ 978-3030069001
Item Weight ‏ : ‎ 2.39 pounds
Dimensions ‏ : ‎ 6.14 x 1.44 x 9.21 inches

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