• DocumentCode
    3461702
  • Title

    Dynamic Associated Analysis of Two Stock Returns´ Volatility: An Evidence Study of Malaysia and Singapore Stock Markets

  • Author

    Horng, Wann-Jyi ; Huang, Ming-Chi

  • 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
    904
  • Lastpage
    909
  • Abstract
    This paper uses the Malaysia and the Singaporepsilas stock prices of material from January 3, 2000 to July 20, 2007, discussing the model construction and their associations of between Malaysia and Singaporepsilas stock markets, and also uses Student´s t distribution to analyze the proposed model. The empirical results show that the mutual affects of the Malaysia and the Singaporepsilas stock markets may construct in bivariate IGARCH (1, 1) model with a DCC. The empirical result also shows that between Malaysia and Singaporepsilas stock market returns exists the positive relation- namely these two stock market returnpsilas volatility is synchronized influence, the average estimation value of the DCC coefficient of two stock market returns amounts to 0.3826. Also, Malaysia and Singapore´s stock markets do not have the asymmetrical effect in the research data period. Based on the DCC (Engle, 2002), the DCC and the bivariate GARCH model have a better explanatory ability compared to the bivariate GARCH model with a constant conditional correlation.
  • Keywords
    autoregressive processes; stock markets; DCC coefficient; IGARCH model; Malaysia; Singapore; conditional correlation; dynamic associated analysis; stock market; stock prices; stock return volatility; Autoregressive processes; Building materials; Electronic mail; Globalization; Hospitals; Information analysis; Investments; Maximum likelihood estimation; Medical services; Stock markets; DCC; Stock return; asymmetric effect; bivariate IGARCH model;
  • 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.2009.106
  • Filename
    5260776