• DocumentCode
    3038803
  • Title

    Robustness Analysis and Algorithm of Expected Shortfall Based on Extreme-Value Block Minimum Model

  • Author

    Ou, Shide ; Yi, Danhui

  • Author_Institution
    Sch. of Stat., Renmin Univ. of China, Beijing, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    288
  • Lastpage
    292
  • Abstract
    To measure effectively the risk of stock market, the algorithm of expected shortfall is presented by using the extreme-value block minimum method. By transforming the distribution of standardized minimal return in an interval into the distribution of ordinary minimal return, the formula of expected shortfall is derived. By simulation and statistical analysis, an appropriate interval length is found out to make this algorithm robust. The simulation results show that the robustness of value at risk and expected shortfall based on this method is very good when the interval length isnpsilat more than 30. This algorithm measures effectively the expected shortfall of stock market.
  • Keywords
    statistical analysis; stock markets; expected shortfall algorithm; extreme-value block minimum model; robustness analysis; simulation analysis; standardized minimal return; statistical analysis; stock market; Algorithm design and analysis; Distribution functions; Equations; Mathematical model; Reactive power; Risk analysis; Robustness; Statistical analysis; Statistical distributions; Stock markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.73
  • Filename
    5208882