Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/21913
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    CNU IR > The Centers > The Center For General Education > Proceedings >  Item 310902800/21913
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/21913


    Title: Asymmetric and DCC Analysis of the Stock Market Correlations: An Evidence Study on the Hong Kong and Japan Stock Market
    Authors: Wann-Jyi Horng
    Ming-Chi Huang
    Contributors: 通識教育中心
    醫務管理系
    Keywords: Stock market returns
    Student's t distribution
    asymmetrical effect
    GJP-GARCH model
    dynamic conditional correlation
    bivariate asymmetric-GARCH model
    Date: 2008-07
    Issue Date: 2009-11-02 16:56:52 (UTC+8)
    Abstract: This paper discusses the model construction and the association between the Hong Kong and the Japanese stock markets. The data period is from January 4, 1999 to December 30, 2005. This paper also utilizes Student’s t distribution to analyze the proposed model. The empirical results show that the bivariate asymmetric-GARCH ( l , 2 ) model with a dynamic conditional correlation (DCC) seemed to be appropriate in evaluating the relationship between them . The empirical result also indicates a positive relation between the Hong Kong and the Japanese stock market return. The average estimation value of DCC coefficient equals to 0.5196, which implies that these two stock markets ' return volatility had synchronized influence on each other. In addition, the empirical results also show that the Hong Kong and the Japanese stock markets have an asymmetrical effect. Based on the idea of the good and bad news, and the idea of DCC (Engle , 2002 ) , the explanatory ability of proposed model is better than the traditional model of the bivariate GARCH .
    Relation: BAI2008~International Conference on Business and Information,起迄日:2008/7/7~2008/7/9,地點:Seoul, S. Korea
    Appears in Collections:[The Center For General Education] Proceedings
    [Dept. of Hospital and Health (including master's program)] Proceedings

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