Rating based modeling of credit risk : theory and application of migration matrices
(eBook)
Author
Contributors
Published
London ; Burlington, MA : Academic, ©2009.
Format
eBook
ISBN
9780123736833, 0123736838, 9780080920306, 0080920306
Physical Desc
1 online resource (xii, 266 pages) : illustrations
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Language
English
Notes
Bibliography
Includes bibliographical references (pages 249-258) and index.
Description
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 this book 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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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Trueck, S., & Rachev, S. T. (2009). Rating based modeling of credit risk: theory and application of migration matrices . Academic.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Trueck, Stefan and S. T. Rachev. 2009. Rating Based Modeling of Credit Risk: Theory and Application of Migration Matrices. Academic.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Trueck, Stefan and S. T. Rachev. Rating Based Modeling of Credit Risk: Theory and Application of Migration Matrices Academic, 2009.
MLA Citation, 9th Edition (style guide)Trueck, Stefan., and S. T Rachev. Rating Based Modeling of Credit Risk: Theory and Application of Migration Matrices Academic, 2009.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
85f1e498-ac29-da19-1291-b040f581e4bc-eng
Grouping Information
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| Full title | rating based modeling of credit risk theory and application of migration matrices |
| Author | trueck stefan |
| Grouping Category | book |
| Last Update | 2024-04-16 12:23:35PM |
| Last Indexed | 2024-04-20 03:49:58AM |
Book Cover Information
| Image Source | coce_amazon |
|---|---|
| First Loaded | Jan 7, 2023 |
| Last Used | Mar 2, 2024 |
Marc Record
| First Detected | Nov 09, 2022 03:38:26 PM |
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| Last File Modification Time | Apr 16, 2024 12:25:15 PM |
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| 504 | |a Includes bibliographical references (pages 249-258) and index. | ||
| 505 | 0 | |a 1. Introduction: Credit Risk Modeling, Ratings and Migration Matrices -- 2. Rating and Scoring Techniques -- 3. The New Basel Capital Accord -- 4. Rating Based Modeling -- 5. Migration Matrices and the Markov Chain Approach -- 6. Stability of Credit Migrations -- 7. Measures for Comparison of Transition Matrices -- 8. Real World and Risk-Neutral Transition Matrices -- 9. Conditional Credit Migrations: Adjustments and Forecasts -- 10. Dependence Modeling and Credit Migrations -- 11. Credit Derivatives. | |
| 520 | |a 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 this book 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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