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The Weak-form Efficiency of Chinese Stock Markets

Author

Listed:
  • Kian-Ping Lim

    (Kian-Ping Lim, Labuan School of International Business and Finance, Universiti Malaysia Sabah, Department of Econometrics and Business Statistics, Monash University.)

  • Muzafar Shah Habibullah

    (Muzafar Shah Habibullah, Department of Economics, Faculty of Economics and Management, Universiti Putra, Malaysia.)

  • Melvin J. Hinich

    (Melvin J. Hinich, Applied Research Laboratories, University of Texas, Austin.)

Abstract

Motivated by the shortcomings of earlier Chinese efficiency studies, the present paper re-examines the weak-form efficiency of Shanghai and Shenzhen Stock Exchanges. Specifically, our adopted methodologies mitigate the confounding effect of thin trading on return autocorrelation, detect both linear and nonlinear serial dependencies in the adjusted returns series, and capture the persistence of dependency structures over time. The result shows that the adjusted returns series from both markets follow a random walk for long periods of time, only to be interspersed with brief periods of strong linear and/or nonlinear dependency structures. This suggests that there are certain time periods when new information is not fully reflected into stock prices. Another interesting finding is that the existence of serial dependencies in both the Shanghai and Shenzhen Stock Exchanges follows one another closely after October 1997. It indicates that both markets respond in a similar way to influences from political, economic, social and institutional changes.

Suggested Citation

  • Kian-Ping Lim & Muzafar Shah Habibullah & Melvin J. Hinich, 2009. "The Weak-form Efficiency of Chinese Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 133-163, May.
  • Handle: RePEc:sae:emffin:v:8:y:2009:i:2:p:133-163
    DOI: 10.1177/097265270900800203
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    More about this item

    Keywords

    Nonlinearity; thin trading; market efficiency; China; stock market; JEL Classification: G14; JEL Classification: G15; JEL Classification: C49;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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