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Theory of Financial Risk and Derivative Pricing: From Statistical Physics to risk Management

AUTHOR: Jean-Philippe Bouchaud
ISBN: 0521819164

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Theory of Financial Risk and Derivative Pricing: From Statistical Physics to risk Management
- Book Review,
by Jean-Philippe Bouchaud


Review
"...thought-provoking...The feeling one is left with after putting the book down is one of time well spent." Risk

"...the authors offer fresh and valuable insights into financial markets." -Mathematical Reviews "The book is well written and self-contained...recommended to anyone interested in a new and fresh approach to the dynamics of financial markets." -Journal of Statistical Physics


Book Description
Summarizing market data developments, some inspired by statistical physics, this book explains how to better predict the actual behavior of financial markets with respect to asset allocation, derivative pricing and hedging, and risk control. Risk control and derivative pricing are major concerns to financial institutions. The need for adequate statistical tools to measure and anticipate amplitude of potential moves of financial markets is clearly expressed, in particular for derivative markets. Classical theories, however, are based on assumptions leading to systematic (sometimes dramatic) underestimation of risks. First edition Hb (2000): 0-521-78232-5


Book Info
Text summarizes recent theoretical developments, describes financial products and financial markets, discusses various aspects of data analysis and estimation techniques, and more. Revised edition of Theory of Financial Risks. Previous edition: c2000. DLC: Finance.


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         Book Review

Theory of Financial Risk and Derivative Pricing: From Statistical Physics to risk Management
- Book Reviews,
by Jean-Philippe Bouchaud

Theory of Financial Risk and Derivative Pricing: From Statistical Physics to risk Management

FROM THE PUBLISHER

Theory of Financial Risk and Derivative Pricing summarizes recent theoretical developments, some of which were inspired by statistical physics. Starting from the detailed analysis of market data, one can take into account more faithfully the real behaviour of financial markets (in particular the 'rare events') for asset allocation, derivative pricing and hedging, and risk control.


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