Practical Credit Risk and Capital Modeling, and Validation / Management for Professionals (PDF)

Name: Practical Credit Risk and Capital Modeling, and Validation / Management for Professionals
Brand: Springer Nature Switzerland
SKU: 153797162
Price: 118.00 CHF
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CECL, Basel Capital, CCAR, and Credit Scoring with Examples (Sprache: Englisch)

Autor: Colin Chen

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This book provides professionals and practitioners with a comprehensive guide on credit risk modeling, capital modeling, and validation for Current Expected Credit Loss (CECL), International Financial Reporting Standard 9 (IFRS9), Basel Capital and Comprehensive Capital Analysis and Review (CCAR) procedures. It describes how credit risk modeling, capital modeling, and validation are done in big banks with code and examples. The book features innovative concepts such as Binary Logit Approximation (BLA) for Competing Risk Framework; Adaptive and Exhaustive Variable Selection (AEVS) for automatic modeling; Full Observation Stratified Sampling (FOSS) for unbiased sampling; and Prohibited Correlation Index (PCI) for Fair Lending Texts. It also features a chapter on credit underwriting and scoring, addressing the credit underwriting risk with some innovations. It is a valuable guide for professionals, practitioners and graduate students in risk management.

Autoren-Porträt von Colin Chen

Colin Chen is the Founder and Director of Data Science and Analytics Consultants (Bayside, NY, USA), which focuses on data science projects from financial and media industries. He has over 15 years of experience in financial risk management having worked at JP Morgan Chase as an Executive Director of the Operational Risk Modeling Group and at Bank of America as a Director of Model Risk Management. He has also worked for Wells Fargo and Fannie Mae on credit and market risk models and for the SAS Institute as a Senior Software Developer.

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Autor: Colin Chen
2024, 2024, 391 Seiten, Englisch
Verlag: Springer Nature Switzerland
ISBN-10: 3031525426
ISBN-13: 9783031525421
Erscheinungsdatum: 22.04.2024

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Dateiformat: PDF
Grösse: 10 MB
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Englisch

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