Practical Credit Risk and Capital Modeling, and Validation: CECL, Basel Capital, CCAR, and Credit Scoring with Examples

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.


1144508010
Practical Credit Risk and Capital Modeling, and Validation: CECL, Basel Capital, CCAR, and Credit Scoring with Examples

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.


99.0 In Stock
Practical Credit Risk and Capital Modeling, and Validation: CECL, Basel Capital, CCAR, and Credit Scoring with Examples

Practical Credit Risk and Capital Modeling, and Validation: CECL, Basel Capital, CCAR, and Credit Scoring with Examples

by Colin Chen
Practical Credit Risk and Capital Modeling, and Validation: CECL, Basel Capital, CCAR, and Credit Scoring with Examples

Practical Credit Risk and Capital Modeling, and Validation: CECL, Basel Capital, CCAR, and Credit Scoring with Examples

by Colin Chen

eBook2024 (2024)

$99.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

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.



Product Details

ISBN-13: 9783031525421
Publisher: Springer-Verlag New York, LLC
Publication date: 04/22/2024
Series: Management for Professionals
Sold by: Barnes & Noble
Format: eBook
File size: 25 MB
Note: This product may take a few minutes to download.

About the Author

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.

Table of Contents

Introduction to Credit Risk and Capital Management Frameworks.- Credit Data and Processing.- Credit Modeling Techniques.- Allowance for Credit Loss and CECL.- Capital Management and Risk Weighted Asset.- Stress Test and CCAR.- Underwriting and Credit Scoring.

From the B&N Reads Blog

Customer Reviews