• DocumentCode
    3457465
  • Title

    An Asymmetric and DCC Analysis of Two Stock Markets Return: An Evidence Study of the U.S. and the Canada´s Stock Markets

  • Author

    Wann-Jyi Horng ; Jui-Chen Chang ; Ming-Chi Huang

  • Author_Institution
    Dept. of Hosp. & Health Care Adm., Chia Nan Univ. of Pharmacy & Sci., Tainan, Taiwan
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    53
  • Lastpage
    57
  • Abstract
    The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH (1, 1) model is appropriate in evaluating the relationship of the U.S. and the Canadapsilas stock markets. The empirical result also indicates that the U.S. and the Canadapsilas stock markets is a positive relation. The average estimation value of correlation coefficient equals to 0.669, which implies that the two stock markets is synchronized influence. Besides, the empirical result also shows that the U.S. and the Canadapsilas stock markets have an asymmetrical effect, and the variation risks of the U.S. and the Canadapsilas stock market returns also receives the influence of the positive and negative of the itself return ratepsila volatility.
  • Keywords
    correlation methods; stock markets; Canada stock market; US stock market; bivariate asymmetric-IGARCH model; dynamic conditional correlation; Electronic mail; Fuel economy; Gaussian distribution; Hospitals; Information analysis; Medical services; Power generation economics; Statistical distributions; Stock markets; Testing; Bivariate IGARCH model; DCC; Stock return; asymmetric effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.108
  • Filename
    5260547