Measuring and Managing Credit Risk

The field of credit risk measurement is experiencing sweeping changes and not a little controversy. Into the storm wade authors de Servigny and Renault with their own perspective. Focusing on risk management (as opposed to financial engineering) applications, they provide a roadmap for banks to manage credit risk under the new Basle II regime. Topics include

individual counterparty credit risk,

portfolio credit risk,

capital allocation,

credit spread modeling,

CDOs and credit derivatives, and

regulation.

Today, traditional methods off credit analysis are under attack by proponents of financial engineering oriented structural and intensity models of credit risk. This book is somewhat of a backlash. The authors are employees of Standard & Poor's. Not surprisingly, they embrace agency ratings as a gold standard to which internal bank ratings, credit scoring and structural models can only aspire. Intensity models receive minimal mention. This bias should not dissuade you. Any book you read on credit risk today is going to offer its own perspective. Indeed, de Servigny and Renault is one of the few books you will find today offering a spirited defense of traditional credit analysis. I do advise supplementing it with another biased book: Ong (2003) offers a somewhat scathing look at credit rating agencies.

Contents

1. Credit, Financial Markets, and Microeconomics

2. External and Internal Ratings

3. Default Risk: Quantitative Methodologies

4. Loss Given Default

5. Default Dependencies

6. Credit Risk Portfolio Models

7. Credit Risk Management and Strategic Capital Allocation

8. Yield Spreads

9. Structured Products and Credit Derivatives

10. Regulation

Epilogue

Notes

A lot of mathematical tools, such as goodness-of-fit tests, copulas and kernel modeling are covered, but discussions remain accessible to less technical readers. If anything, the book trades depth for breadth, so more technically inclined readers will find the book most useful as an overview. Plan on following up on some of the many interesting references that appear throughout the book. I am going to!

In summary, this book offers a broad overview of credit risk modeling primarily from the perspective of bank risk management. The authors favor traditional credit analysis over financial engineering approaches to credit risk measurement. This should not be the only book you read on the topic, but do read it.

For related books, see sections:

Risk Management - Credit Risk

Risk Management - General

 

 

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