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Cross-Autocorrelation of Dual-Listed Stock Portfolio Returns: Evidence from the Chinese Stock Market

  • Daxue Wang

    ()

    (PhD program IESE Business School)

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    In this paper, we apply a GARCH model to examine the cross-autocorrelation pattern between daily returns of portfolios composed of dual-listed stocks in Chinese stock market, before and after China opened its once foreign-exclusive B-share market. A lead-lag relationship between the A-share and B-share portfolio returns is identified during our sample periods, with the A-share portfolio leading the B-share portfolio. Upon the opening of B-share market, a change from underreaction to overreaction is found in the response pattern of B-share market, producing a rarely seen negative cross-autocorrelation. The results of two additional tests are reported. First, by decomposing the portfolio return into portfolio-specific and market-wide returns, we find that the market-wide information contained in A-share portfolio return is strongly associated with the cross-autocorrelation structure. Second, we document a directional asymmetry in which B-share portfolio shows either slow or over response to bad, but not good, news of A-share portfolio. We conclude that information asymmetry alone is not enough to explain the lead-lag relationship, and investor behavior must be taken into consideration

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    File URL: http://repec.org/sce2006/up.3208.1140443336.pdf
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    Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 182.

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    Date of creation: 04 Jul 2006
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    Handle: RePEc:sce:scecfa:182
    Contact details of provider: Web page: http://comp-econ.org/
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