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Introduction to Credit Risk Modeling
ISBN/GTIN

Introduction to Credit Risk Modeling

BookHardcover
Ranking16667inMathematik
CHF271.00

Description

Illustrating mathematical models for structured credit with practical examples, Introduction to Credit Risk Modeling provides an accessible introduction to the foundations of structured credit portfolio modeling. Updated and expanded, this second edition features additional material on estimation of asset correlations, benchmark correlations based on securitizations of benchmark portfolios in the market, risk contributions and spectral risk measures, nonhomogeneous Markov chain approaches, multi-year models, current agency models, single-tranche CDOs, index tranches, as well as new developments in synthetics. The text also includes new exercises and a supporting website.
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Details

ISBN/GTIN978-1-58488-992-2
Product TypeBook
BindingHardcover
PublisherCRC Press
Publishing date03/06/2010
Edition10002 A. 2nd edition
Pages384 pages
LanguageEnglish
SizeWidth 158 mm, Height 241 mm, Thickness 27 mm
Weight773 g
Article no.8049518
CatalogsBuchzentrum
Data source no.7312744
Product groupMathematik
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Author

Over the years, Christian Bluhm has worked for Deutsche Bank, McKinsey, HypoVereinsbank´s Group Credit Portfolio Management, and Credit Suisse. He earned a Ph.D. in mathematics from the University of Erlangen-Nürnberg.

Ludger Overbeck is a professor of probability theory and quantitative finance and risk management in the Institute of Mathematics at the University of Giessen. During his career, he worked for Deutsche Bundesbank, Deutsche Bank, HypoVereinsbank/UniCredit, DZBank, and Commerzbank. He earned a Ph.D. in mathematics from the University of Bonn.

Christoph Wagner has worked for Deutsche Bank, Allianz Group Center, UniCredit/HypoVereinsbank, and Allianz Risk Transfer. He earned a Ph.D. in statistical physics from the Technical University of Munich.