IFRS 9 and CECL Credit Risk Modelling and Validation: A Practical Guide with Examples Worked in R and SAS
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- Synopsis
- IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.Offers a broad survey that explains which models work best for mortgage, small business, cards, commercial real estate, commercial loans and other credit productsConcentrates on specific aspects of the modelling process by focusing on lifetime estimatesProvides an hands-on approach to enable readers to perform model development, validation and audit of credit risk models
- Copyright:
- 2019
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 316 Pages
- ISBN-13:
- 9780128149416
- Related ISBNs:
- 9780128149409
- Publisher:
- Elsevier Science
- Date of Addition:
- 06/10/21
- Copyrighted By:
- Elsevier Science & Technology
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Business and Finance, Law, Legal Issues and Ethics, Mathematics and Statistics, Sociology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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