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[下载]Cambridge《金融风险和衍生品定价理论》(Theory of Financial Risk and Derivative Pricing)  关闭 [推广有奖]

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dannin 发表于 2007-12-7 01:56:00 |AI写论文

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Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management (Hardcover)
by Jean-Philippe Bouchaud (Author), Marc Potters (Author)

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

  • Hardcover: 400 pages
  • Publisher: Cambridge University Press; 2 edition (February 2, 2004)
  • Language: English
  • 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

    "The book is interesting not only for physicists working in finance, but also practicioners and scholars with a mathematical or statistical background."
    Journal of the American Statistical Association

    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.
  • 179856.rar (35.24 MB, 需要: 36 个论坛币) 本附件包括:
    • Theory of Financial Risk and Derivative Pricing.pdf
  • Contents
    1. Probability theory: basic notions
     2. Maximum and addition of random variables
    3. Continuous time limit, Ito calculus and path integrals;
    4. Analysis of empirical data
    5. Financial products and financial markets
    6. Statistics of real prices: basic results
    7. Non-linear correlations and volatility fluctuation
    8. Skewness and price-volatility correlations
    9. Cross-correlations
    10. Risk measures
    11. Extreme correlations and variety
    12. Optimal portfolios
    13. Futures and options: fundamental concepts
    14. Options: hedging and residual risk
    15. Options: the role of drift and correlations
    16. Options: the Black and Scholes model
    17. Options: some more specific problems
    18. Options: minimum variance Monte Carlo
    19. The yield curve
    20. Simple mechanisms for anomalous price statistics
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