Best Seller Credit-Risk Modelling

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Credit-Risk Modelling High quality books

Credit-Risk Modelling
By:David Jamieson Bolder
Published on 2018-10-31 by Springer

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.

This Book was ranked at 21 by Google Books for keyword Credit.

Book ID of Credit-Risk Modelling's Books is W9p1DwAAQBAJ, Book which was written byDavid Jamieson Bolderhave ETAG "wG5OE4vg3h0"

Book which was published by Springer since 2018-10-31 have ISBNs, ISBN 13 Code is 9783319946887 and ISBN 10 Code is 3319946889

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Book which have "684 Pages" is Printed at BOOK under CategoryBusiness and Economics

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This eBook Maturity (Adult Book) status is NOT_MATURE

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