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Extreme Financial Risks: From Dependence to Risk Management (Springer Finance)
 
 
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Extreme Financial Risks: From Dependence to Risk Management (Springer Finance) [Paperback]

Y. Malevergne (Author), Didier Sornette (Author)

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Book Description

December 5, 2005
"Clearly elucidates extreme financial risks associated with rare events such as financial crashes. The highlight of the book is the delineation of various copulas in conjunction with financial dependences among different assets of a portfolio. In particular, the insightful discussion on quadrant and orthant dependences casts new light on the connection between marginal models and financial dependence...brings a vivid portrayal of the subject." -- MATHEMATICAL REVIEWS

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Extreme Financial Risks: From Dependence to Risk Management (Springer Finance) + Why Stock Markets Crash: Critical Events in Complex Financial Systems + Critical Phenomena in Natural Sciences: Chaos, Fractals, Selforganization and Disorder: Concepts and Tools (Springer Series in Synergetics)
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Editorial Reviews

Review

From the reviews: "This book clearly elucidates extreme financial risks associated with rare events such as financial crashes. The highlight of the book is the delineation of various copulas in conjunction with financial dependences among different assets of a portfolio. In particular, the insightful discussion on quadrant and orthant dependences casts new light on the connection between marginal models and financial dependence. … It is well organized and systematically brings a vivid portrayal of the subject to researchers and graduate students in mathematics and statistics." (John Tuhao Chen, Mathematical Reviews, Issue 2006 j) "Its originality lies in detailed and thorough presentations of the state of the art on (i) the different distributions of financial returns for various applications (Value-at-Risk, stress testing), and (ii) the most important and useful measures of dependences … . Many of the results presented here are novel and have not been published or have been recently obtained by the authors or their colleagues." (Alexandr B. Vasil’ev, Zentralblatt MATH, Vol. 1093 (19), 2006) "Extreme Financial Risk deals with the modeling of extreme events with applications in finance. … The book is very well structured. … the book is written in a very lucid style, very easy to understand. Detailed proofs of certain results are given in the appendices at the end of each chapter. … The authors also provide a large list of references, which could make this text very attractive for researchers. … Students interested in extreme events in financial markets would find this an interesting text." (Ita Cirovic Donev, MathDL, March, 2006)

From the Back Cover

Portfolio analysis and optimization, together with the associated risk assessment and management, require knowledge of the likely distributions of returns at different time scales and insights into the nature and properties of dependences between the different assets. This book offers an original and thorough treatment of these two domains, focusing mainly on the concepts and tools that remain valid for large and extreme price moves. Strong emphasis is placed on the theory of copulas and their empirical testing and calibration, because they offer intrinsic and complete measures of dependences. Extreme Financial Risks will be useful to: students looking for a general and in-depth introduction to the field; financial engineers, economists, econometricians, actuarial professionals; researchers and mathematicians looking for a synoptic view comparing the pros and cons of different modelling strategies; and quantitative practitioners for the insights offered on the subtleties and the many dimensional components of both risk and dependence. In toto, the content of this book will also be useful to a broader scientific community interested in quantifying the complexity of many natural and artificial processes in which a growing emphasis is on the role and importance of extreme phenomena.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
copula hypothesis, tail dependence coefficient, copula wit, lower tail dependence, elliptical copula, conditional correlation coefficient, index daily returns, upper tail dependence, concordance measures, two copulas, lunch effect, endogenous shocks, list rihut ion, tail index, list rihnt ion, ret urns, negative tail, coherent measures, list ribut ion, rihnt ions, pseudo likelihood, rihut ions, large volatility, digital option, positive tail
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Dow Jones, Latin American, British Pound, General Motors, Description of Financial Dependences, Chevron Corp, Collective Phenomena, Description of Financial Data, Limits of the Description, Philip Morris Cos Inc, Schering-Plough Corp, Texaco Inc, Texas Instruments Inc
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