- Hardcover: 538 pages
- Publisher: Princeton University Press (16 Oct. 2005)
- Language: English
- ISBN-10: 0691122555
- ISBN-13: 978-0691122557
- Product Dimensions: 24.1 x 16.5 x 3.4 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Bestsellers Rank: 288,453 in Books (See Top 100 in Books)
- See Complete Table of Contents
Quantitative Risk Management: Concepts, Techniques, and Tools (Princeton Series in Finance) Hardcover – 16 Oct 2005
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One of the Top 10 Technical Books on Financial Engineering by Financial Engineering News for 2006
"Quantitative Risk Managment can be highly recommended to anyone looking for an excellent survey of the most important techniques and tools used in this rapidly growing field."--Holger Drees, Risk
"This book provides a state-of-the-art discussion of the three main categories of risk in financial markets, market risk, . . . credit risk . . . and operational risk. . . . This is a high level, but well-written treatment, rigorous (sometimes succinct), complete with theorems and proofs."--D.L. McLeish, Short Book Reviews of the International Statistical Institute
"Quantitative Risk Management is highly recommended for financial regulators. The statistical and mathematical tools facilitate a better understanding of the strengths and weaknesses of a useful range of advanced risk-management concepts and models, while the focus on aggregate risk enhances the publication's value to banking and insurance supervisors."--Hans Blommestein, The Financial Regulator
"A great summary of the latest techniques available within quantitative risk measurement. . . . [I]t is an excellent text to have on the shelf as a reference when your day job covers the whole spectrum of quantitative techniques in risk management."--Financial Engineering News
"Alexander McNeil, Rudiger Frey and Paul Embrechts have written a beautiful book. . . . [T]here is no book that can provide the type of rigorous, detailed, well balanced and relevant coverage of quantitative risk management topics that Quantitative Risk Management: Concepts, Techniques, and Tools offers. . . . I believe that this work may become the book on quantitative risk management. . . . [N]o book that I know of can provide better guidance."--Dr. Riccardo Rebonato, Global Association of Risk Professionals (GARP) Review
"This is a very impressive book on a rapidly growing field. It certainly helps to discover the forest in an area where a lot of trees are popping up daily."--Hans Bühlmann, SIAM Review
From the Back Cover
"This book is a compendium of the statistical arrows that should be in any quantitative risk manager's quiver. It includes extensive discussion of dynamic volatility models, extreme value theory, copulas, and credit risk. Academics, Ph.D. students, and quantitative practitioners will find many new and useful results in this important volume."--Robert F. Engle III, 2003 Nobel Laureate in Economic Sciences, Michael Armellino Professor in the Management of Financial Services at New York University's Stern School of Business
"This book provides a framework and a useful toolkit for analysis a wide variety of risk management problems. Common pitfalls are pointed out, and mathematical sophistication is used in pursuit of useful and usable solutions. Every financial institution has a risk management department that looks at aggregated portfolio-wide risks on longer time scales, and at risk exposure to large, or extreme, market movements. Risk managers are always on the lookout for good techniques to help them do their jobs. This very good book provides these techniques and addresses an important, and under-developed, area of practical research."--Martin Baxter, Nomura International
"McNeil, Frey, and Embrechts present a wide-ranging yet remarkably clear and coherent introduction to the modelling of financial risk. Unlike most finance texts, where the focus is on pricing individual instruments, the primary focus in this book is the statistical behavior of portfolios of risky instruments, which is, after all, the primary concern of risk management. This ought to be a core text in every risk manager's training, and a useful reference for experienced professionals."--Michael Gordy
"There is no book that provides the type of rigorous and detailed coverage of risk management topics that this book does. This could become the book on quantitative risk management."--Riccardo Rebonato, Royal Bank of Scotland, author of Modern Pricing of Interest-Rate Derivatives
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Top Customer Reviews
Good points: puts risk measurement into a formal, rigorous statistical framework; good overview of risk measurement topics; implementation in R of some tools is available for free as an R package.
Bad points: not very detailed in terms of how to implement many of the models; some chapters seem to be there more for completeness than for their practical value (I didn't find the chapter about copulas in particularly useful); too theoretical and very little emphasis on the practical side.
In summary, this book is for a risk manager who is very well trained in statistics and will be able (and willing) to implement the tools starting from the statistical concepts.
Most Helpful Customer Reviews on Amazon.com (beta)
I was fascinated recently to see that Ricardo Rebonato - in spite of quoted review above - seems to agree: in his new book (plight of the fortune tellers), he makes the same points that occured to me.
Another book that is a bit easier to read that covers Stat and Finance well with business context is: Statistics and Finance: An Introduction, which includes more than financial risk management.
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