Credit Risk: Models, Derivatives, and Management

1st Edition

Niklas Wagner

Chapman and Hall/CRC
Published May 28, 2008
Reference - 600 Pages - 94 B/W Illustrations
ISBN 9781584889946 - CAT# C9942
Series: Chapman and Hall/CRC Financial Mathematics Series

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Summary

Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results.

Divided into six sections, the book

•          Explores the rapidly developing area of credit derivative products, including iTraxx Futures, iTraxx Default Swaptions, and constant proportion debt obligations

•          Addresses the relationships between the DJ iTraxx credit default swap (CDS) index and the stock market as well as CDS spreads and macroeconomic factors

•          Investigates systematic and firm-specific default risk factors, compares CDS pricing results from the CreditGrades industry benchmark to a trinomial tree approach, and applies the Hull–White intensity-based model to the pricing of names from the CDX index

•          Analyzes aggregate default and recovery rates on corporate bond defaults over a twenty-year period, the responses of hazard rates to changes in a set of economic variables, low-default portfolios, and tests on the accuracy of the Basel II framework

•          Describes benchmark models of implied credit correlation risk, copula-based default dependence concepts, the fit of various copula models, and a common factor model of systematic credit risk

•          Studies the pricing of options on single-name CDSs, the pricing of credit derivatives, collateralized debt obligation (CDO) price data, the pricing of CDO tranches, applications of Gaussian and Student’s t copula functions, and the pricing of CDOs

Using mathematical models and methodologies, this volume provides the essential knowledge to properly manage credit risk and make sound financial decisions.

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