- Series: Quantitative Finance
- Hardcover: 216 pages
- Publisher: Academic Press; 1 edition (November 28, 2007)
- Language: English
- ISBN-10: 0750681586
- ISBN-13: 978-0750681582
- Product Dimensions: 6.1 x 0.6 x 9.2 inches
- Shipping Weight: 15.5 ounces (View shipping rates and policies)
- Average Customer Review: 1 customer review
- Amazon Best Sellers Rank: #3,145,055 in Books (See Top 100 in Books)
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The Analytics of Risk Model Validation (Quantitative Finance) 1st Edition
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From the Back Cover
The Analytics of Risk Model Validation
Stephen Satchell and George Christodoulakis
"Risk modeling is key to many aspects of the finance industry – from capital adequacy to detailed asset pricing. It is also a very challenging area of work, with many traps for the unwary, a fact that is often overlooked in the pressures of day-to-day work. This timely collection of papers provides invaluable insight into the validation of these models, providing both the necessary theory for model builders, and practical examples for model users."
Stephen Wright, Director, Fixed Income UBS Ltd
“Risk model validation, once a topic of only academic interest, is now at the heart of practical implementations of the new Basel II accord by numerous banks around the world. In this volume, George Christodoulakis and Stephen Satchell have pulled together an impressive list of expert practitioners and academics in the topic. The result is a much needed, clear and practical treatment of key model validation principles and applications. This is an invaluable reference for anyone involved in Basel II, or in the implementation and use of market and credit risk systems.
Dr. Dan Rosen, R2 Financial Technologies, The Fields Institute for Research in Mathematical Sciences, University of Toronto, Canada
Financial institutions such as banks and investment houses use complex computer models to calculate the risk of their portfolios, and accurate reporting of their risk or exposure is commonly required by several regulators. A new requirement under Basel II is the validation of these portfolio risk models, often a more complex undertaking than creating the models themselves. Very little has been written that can guide finance professionals in carrying out these validations.
The Analytics of Risk Model Validation aims to fill that need for guidance in risk model testing. Editors George Christodoulakis and Stephen Satchell bring together an international array of regulators, consultants, and academics to provide the first book that focuses on the quantitative side of risk model validation.
The Analytics of Risk Model Validationprovides practical discussion and guidance for portfolio managers, asset managers, and bankers, analyzing model validation in all three areas of Credit Risk, Market Risk, and Operational Risk.
Dr George Christodoulakis is an expert in quantitative finance, focusing on financial theory and the econometrics of credit and market risk. His research work has been published in international refereed journals such as Econometric Reviews, the European Journal of Operational Research and the Annals of Finance and he is a frequent speaker at international conferences. Dr Christodoulakis has been a member of the faculty at Cass Business School, City University and the University of Exeter, an Advisor to the Bank of Greece and is now appointed at Manchester Business School, University of Manchester. He holds two masters degrees and a doctorate from the University of London.
Dr Stephen Satchell is a Fellow of Trinity College, a Reader in Financial Econometrics at the University of Cambridge and a Visiting Professor at Birkbeck College, and City University of Technology, Sydney, Australia. He provides consultancy for a range of city institutions in the broad area of quantitative finance. He has published papers in many journals and has a particular interest in risk.
About the Author
Stephen Satchell is a Fellow of Trinity College, the Reader in Financial Econometrics at the University of Cambridge and Visiting Professor at Birkbeck College, City University Business School and University of Technology, Sydney. He provides consultancy for a range of city institutions in the broad area of quantitative finance. He has published papers in many journals and has a particular interest in risk.