• DocumentCode
    620469
  • Title

    The risk linkage effects of stock indexes based on quantile regression and granger causality test

  • Author

    Liu Qian ; Li Yongli ; Wu Chong

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    4252
  • Lastpage
    4257
  • Abstract
    The scholars have paid extensive attention to the risk of fluctuations in the stock market after the financial crisis, and their main method of risk management is still VaR(Value at Risk). On the basis of traditional methods, this article innovative uses the quantile regression methods to calculate the VaR value in the major indexes of the four global securities markets, the Shanghai Composite Index, the Nikkei index, the British FTSE index and the U.S. Dow Jones Industrial average index, and based on the results of quantile regression , the article uses the Granger causality test to examine risk linkage effects of these four indexes, the results show that: the risk of China-US securities market linkage effect is not obvious.
  • Keywords
    regression analysis; risk management; securities trading; British FTSE index; China-US securities market linkage effect; Granger causality test; Nikkei index; Shanghai composite index; US Dow Jones industrial average index; VaR value; global securities markets; quantile regression methods; risk linkage effects; risk management; stock indexes; stock market; value at risk; Decision support systems; World Wide Web; Causality Test; Linkage Effects; Quantile Regression; Security Market; Volatility Risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561698
  • Filename
    6561698