Measuring and Managing Credit Risk takes you far beyond the Basel guidelines to detail a powerful, proven program for understanding and controlling your firm’s credit risk. Providing hands-on answers on practical topics from capital management to correlations, and supporting its theories with up-to-the-minute data and insights, this authoritative book examines every key aspect of credit risk, including:

Determinants of credit risk and pricing/spread implications
Quantitative models for moving beyond Altman’s Z score to separate “good” borrowers from “bad”
Key determinants of loss given default, and potential links between recovery rates and probabilities of default
Measures of dependency including linear correlation, and the impact of correlation on portfolio losses
A detailed review of five of today’s most popular portfolio models―CreditMetrics, CreditPortfolioView, Portfolio Risk Tracker, CreditRisk+, and Portfolio Manager
How credit risk is reflected in the prices and yields of individual securities
How derivatives and securitization instruments can be used to transfer and repackage credit risk

Today’s credit risk measurement and management tools and techniques provide organizations with dramatically improved strength and flexibility, not only in mitigating risk but also in improving overall financial performance. Measuring and Managing Credit Risk introduces and explores each of these tools, along with the rapidly evolving global credit environment, to provide bankers and other financial decision-makers with the know-how to avoid excessive credit risk where possible―and mitigate it when necessary.

About the Authors

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

Arnaud de Servigny, Ph.D., is the head of Quantitative Analytics for Standard & Poor's. A popular speaker at conferences and seminars throughout Europe, de Servigny is the author of a number of books and articles on finance and credit risk.

Olivier Renault, Ph.D., works in portfolio modeling in the quantitative analytics and products team for Standard & Poor's Risk Solutions. Prior to joining Standard and Poor's, Olivier was a lecturer on finance at the London School of Economics where he taught derivatives and risk.

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