• DocumentCode
    2010753
  • Title

    An Empirical Research on the Chinese stock market based on VaR

  • Author

    Lei, Le ; Pang, Sulin

  • Author_Institution
    Jinan Univ., Guangzhou
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2729
  • Lastpage
    2734
  • Abstract
    This paper has introduced parameter VaR and non-parameter VaR methods, utilized the parameter VaR method to carry on a positive research to the security market of our country, and calculated VaR value of the composite index of Shenzhen Stock Exchange, so as to come to examine the valid degree of this method in risk management of market of listed companies in our country. The sample spacing involves the whole 242 bargain days in the year of 2005 and the confidence level is 95%. Through calculating, skewness coefficient of earning ratio S is 0.731 (skewness coefficient of normal distribution is 0) and kurtosis coefficient K is 5.96 (kurtosis coefficient of normal distribution is 3). The result shows: from the contrast of actual value and lower limit of predicted VaR value, actual index value for 10 days breaks below the prediction lower limit. Because the confidence level that we choose is 95%, namely real Shenzhen Stock Exchange index which break below the prediction is less than 12.1 days, and have only 10 days actually. It is obvious that the result of fitting of VaR method to risk of Shenzhen Stock Exchange composite index market is better and has an available value virtually.
  • Keywords
    normal distribution; risk management; stock markets; Chinese stock market; Shenzhen Stock Exchange index; earning ratio; kurtosis coefficient; market risk; normal distribution; risk management; skewness coefficient; value at risk; Automatic control; Automation; Banking; Gaussian distribution; Loss measurement; Mathematics; Reactive power; Risk management; Security; Stock markets; VaR; kurtosis coefficient; market risk; risk management; skewness coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376858
  • Filename
    4376858