Niklas Wagner – Credit Risk

NIKLAS WAGNER – CREDIT RISK

FEATURES

• Focuses on new products and their applications in the financial services industry
• Addresses important credit risk issues, including the growing market of credit derivatives
• Examines issues specific to certain geographic areas, such as Latin America, Argentina, and the United States
• Discusses recent cases of corporate bankruptcy, including Tyco, Worldcom, Enron, and Parmalat
• Covers default and recovery risks, credit ratings, and applications within the Basel II framework
• Uses numerous models, such as single-name credit risk, Black-type, stochastic intensity, generalized multifactor, and Monte Carlo, to explain rates, risk, and pricing

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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