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The analytics of risk model validation /
Risk model validation is an emerging and important area of research, and has arisen because of Basel I and II. These regulatory initiatives require trading institutions and lending institutions to compute their reserve capital in a highly analytic way, based on the use of internal risk models. It is...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Elsevier/Academic Press,
�2008.
|
| Edición: | 1st ed. |
| Colección: | Quantitative finance series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 4 | |a The analytics of risk model validation / |c edited by George Christodoulakis, Stephen Satchell. |
| 250 | |a 1st ed. | ||
| 260 | |a Amsterdam ; |a Boston : |b Elsevier/Academic Press, |c �2008. | ||
| 300 | |a 1 online resource (xi, 201 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Quantitative finance series | |
| 520 | |a Risk model validation is an emerging and important area of research, and has arisen because of Basel I and II. These regulatory initiatives require trading institutions and lending institutions to compute their reserve capital in a highly analytic way, based on the use of internal risk models. It is part of the regulatory structure that these risk models be validated both internally and externally, and there is a great shortage of information as to best practise. Editors Christodoulakis and Satchell collect papers that are beginning to appear by regulators, consultants, and academics, to provide the first collection that focuses on the quantitative side of model validation. The book covers the three main areas of risk: Credit Risk and Market and Operational Risk. *Risk model validation is a requirement of Basel I and II *The first collection of papers in this new and developing area of research *International authors cover model validation in credit, market, and operational risk. | ||
| 505 | 0 | |a Contents -- Chapter 1 Determinants of small business default, Sumit Agarwal, Souphala Chomsisengphet and Chunlin Liu -- Chapter 2 Validation of stress testing models, Jospeh L. Breeden -- Chapter 3 The validity of credit risk model validation methods, George Christodoulakis and Stephen Satchell -- Chapter 4 A moment-based procedure for evaluating risk forecasting models, Kevin Dowd -- -- Chpater 5 Measuring concentration risk in credit portfolios, Klaus Duellmann -- Chapter 6 A simple method for regulators to cross-check operational risk loss models for banks, Wayne Holland and ManMohan S. Sodhi -- Chapter 7 Of the credibility of mapping and bencmarking credit risk estimates for internal rating systems, Vichett Oung -- Chapter 8 Analytic models of the ROC curve: Applications to credit rating model validation, Stephen Satchell and Wei Xia -- Chapter 9 The validation of the equity portfolio risk models, Stephen Satchell -- Chapter 10 Dynamic risk analysis and risk model evaluation, Gunter Schwarz and Christoph Kessler -- Chapter 11 Validation of internal rating systems and PD esitmates, Dirk Tasche -- Index. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 542 | |f Copyright #169: Elsevier Science Technology |g 2008 | ||
| 650 | 0 | |a Risk management |x Mathematical models. | |
| 650 | 6 | |a Gestion du risque |0 (CaQQLa)201-0055861 |x Mod�eles math�ematiques. |0 (CaQQLa)201-0379082 | |
| 650 | 7 | |a Risk management |x Mathematical models |2 fast |0 (OCoLC)fst01098179 | |
| 700 | 1 | |a Christodoulakis, George. | |
| 700 | 1 | |a Satchell, Stephen, |d 1949- | |
| 776 | 0 | 8 | |i Print version: |t Analytics of risk model validation. |b 1st ed. |d Amsterdam ; Boston : Elsevier/Academic Press, �2008 |z 9780750681582 |z 0750681586 |w (DLC) 2008297532 |w (OCoLC)166334186 |
| 830 | 0 | |a Quantitative finance series. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780750681582 |z Texto completo |