Rating Based Modeling of Credit Risk

Informationen zum Autor Svetlozar (Zari) Rachev completed his PhD in 1979 from Moscow State University, and his Doctor of Science degree in 1986 from the Steklov mathematical Institute in Moscow. Currently he is Chair-Professor at the University of Karlsruhe in the School of Economics and Business Engineering. He is also Professor Emeritus at the University of California Santa Barbara in the Dept of Statistics and Applied Probability. He has published six monographs and over 230 research articles. He is a Fellow of the Institute of Mathematical Statistics, Elected member of the International statistical Institute, foreign Member of the Russian Academy of Natural Science, and hols an honorary doctorate degree from St. Petersburg Technical University. He is co-founder of Bravo Risk Management Group specializing in financial risk management software. Bravo Group was recently acquired by FinAnalytics for which he currently serves as Chief-Scientist. Klappentext Credit risk is one of the most studied topics in quantitative finance. This book provides an introduction and overview on rating based modeling of credit risk focusing on the theory and application of credit migration matrices. It provides an up-to-date reference to the central problems of the field. Rating Based Modeling of Credit Risk by Trueck and Rachev focuses on the applications of transition matrices including rating-based modeling! estimation techniques! Value-at-Risk simulation! adjustment and forecasting migration matrices! corporate-yield curve dynamics! dependent defaults and migrations! credit derivatives and collateralized debt obligations. 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. Zusammenfassung 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. This book addresses one aspect of these ratings systems which is credit migrations. ...

Autorentext
Svetlozar (Zari) Rachev completed his PhD in 1979 from Moscow State University, and his Doctor of Science degree in 1986 from the Steklov mathematical Institute in Moscow. Currently he is Chair-Professor at the University of Karlsruhe in the School of Economics and Business Engineering. He is also Professor Emeritus at the University of California Santa Barbara in the Dept of Statistics and Applied Probability. He has published six monographs and over 230 research articles. He is a Fellow of the Institute of Mathematical Statistics, Elected member of the International statistical Institute, foreign Member of the Russian Academy of Natural Science, and hols an honorary doctorate degree from St. Petersburg Technical University. He is co-founder of Bravo Risk Management Group specializing in financial risk management software. Bravo Group was recently acquired by FinAnalytics for which he currently serves as Chief-Scientist.

Klappentext
Credit risk is one of the most studied topics in quantitative finance. This book provides an introduction and overview on rating based modeling of credit risk focusing on the theory and application of credit migration matrices. It provides an up-to-date reference to the central problems of the field. Rating Based Modeling of Credit Risk by Trueck and Rachev focuses on the applications of transition matrices including rating-based modeling, estimation techniques, Value-at-Risk simulation, adjustment and forecasting migration matrices, corporate-yield curve dynamics, dependent defaults and migrations, credit derivatives and collateralized debt obligations. 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.

Zusammenfassung
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. This book addresses one aspect of these ratings systems which is credit migrations.

Inhalt

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