The Analytics of Risk Model Validation

Business & Finance, Finance & Investing, Banks & Banking, Personal Finance, Money Management
Cover of the book The Analytics of Risk Model Validation by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780080553887
Publisher: Elsevier Science Publication: November 14, 2007
Imprint: Academic Press Language: English
Author:
ISBN: 9780080553887
Publisher: Elsevier Science
Publication: November 14, 2007
Imprint: Academic Press
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

More books from Elsevier Science

Cover of the book Doppler Radar & Weather Observations by
Cover of the book Advances in Agronomy by
Cover of the book Recycling of Polyethylene Terephthalate Bottles by
Cover of the book The Mouse in Biomedical Research by
Cover of the book Accelerated Predictive Stability (APS) by
Cover of the book Ribonucleases, Part B: Artificial and Engineered Ribonucleases and Speicifc Applications by
Cover of the book Power Electronics Applied to Industrial Systems and Transports, Volume 4 by
Cover of the book Virtual Machines by
Cover of the book Reliability Characterisation of Electrical and Electronic Systems by
Cover of the book Fetal Endocrinology by
Cover of the book Learning from the Impacts of Superstorm Sandy by
Cover of the book Host-Microbe Interactions by
Cover of the book Reaction Mechanisms in Environmental Engineering by
Cover of the book Pervasive Information Architecture by
Cover of the book Platelet-Activating Factor Acetylhydrolases (PAF-AH) by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy