Rating Based Modeling of Credit Risk: Theory and Application of Migration Matrices (Academic Press Advanced Finance)
Language: English
Published by Academic Press, 2008
- Hardcover
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- Title
- Rating Based Modeling of Credit Risk: Theory and Application of Migration Matrices (Academic Press Advanced Finance)
- Author
- Trueck, Stefan; Rachev, Svetlozar T.
- Publisher
- Academic Press
- Publication year
- 2008
- Condition
- good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0123736838
- ISBN 13
- 9780123736833
- Series
- Book 15 of 23: Academic Press Advanced Finance
In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing.
It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling.
- Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II
- One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book
- The book is based on in-depth work by Trueck and Rachev
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Goodwill of Silicon Valley
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Goodwill of Silicon Valley’s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise.
Founded in Santa Clara County, California, USA in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients’ sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.
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