• DocumentCode
    1753731
  • Title

    The Empirical Study of VaR Model in the Margin of Chinese Stock Index Futures

  • Author

    Lu, Qian ; Yu, Mei

  • Author_Institution
    Sch. of Finance & Banking, Univ. of Int. Bus. & Econ., Beijing, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we study the margin of Chinese Stock Index Futures using GARCH-VaR model and Monte Carlo simulation respectively. The result of the empirical study shows that the model of GARCH-VaR is more precise in describing the proper margin level. Furthermore, the average margin level of the long is higher than the short, which means the long is exposed to more risks than the short Moreover, we find that the level of the margin is lower than current domestic stock index futures security level at both 99% and 95% confidence level.
  • Keywords
    Monte Carlo methods; securities trading; Chinese stock index; GARCH-VaR model; Monte Carlo simulation; domestic stock index; security level settings; Biological system modeling; Finance; Fluctuations; Gaussian distribution; Indexes; Monte Carlo methods; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5747720
  • Filename
    5747720