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Autocorrelation and Volume in the Chinese Stock Market

Author

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  • Nicolaas Groenewold

    (Department of Economics, University of Western Australia, Crawley, WA 6009, Australia)

Abstract

This paper reports an empirical analysis of the relationship between return autocorrelation, trading volume and volatility, following the seminal paper by Campbell, Grossman and Wang (1992) using data for A shares traded on the Shanghai and Shenzhen stock exchanges for the period 1992–2002. Campbellet al.argue that autocorrelation of returns will be negatively related to trading volume given that market makers will need to be rewarded with higher returns for accommodating noise traders. For our full sample we find remarkably consistent support for the CGW hypothesis and results — return autocorrelations are negatively but non-linearly related to lagged trading volume and less strongly to volatility. These results are quite robust with respect to different messures of volume and volatility. We argue that this is a striking result in view of the substantial differences between the US market in the 1960s, 1970s and 1980s and the Chinese market of the 1990s. The relationship proves to be unstable over short sub-periods although whether this is due to the relatively short sample we use or to the inherent instability of the Chinese market in its first decade of operation will not be clear until much longer data sets are available for Chinese stock prices.

Suggested Citation

  • Nicolaas Groenewold, 2004. "Autocorrelation and Volume in the Chinese Stock Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 289-309.
  • Handle: RePEc:wsi:rpbfmp:v:07:y:2004:i:02:n:s021909150400007x
    DOI: 10.1142/S021909150400007X
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    Citations

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    Cited by:

    1. Chen Yang, 2015. "An Empirical Study of Liquidity and Return Autocorrelations in the Chinese Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 22(3), pages 261-282, September.

    More about this item

    Keywords

    Stock returns; autocorrelation; volume; volatility; Chinese stock market;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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