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An empirical analysis of the equity markets in China

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  • Rajen Mookerjee
  • Qiao Yu

Abstract

This paper subjects the newly established stock markets in Shanghai and Shenzhen to tests of market efficiency, utilizing daily stock price data. Using a battery of tests, the study concludes that there are significant inefficiencies present on both exchanges. These can be traced to the unique structural and institutional problems that plague both exchanges. The study also tests for the presence of seasonal anomalies on both exchanges. The results show that there are significant negative weekend and positive holiday effects, but there is no evidence of a January effect or early January effect.

Suggested Citation

  • Rajen Mookerjee & Qiao Yu, 1999. "An empirical analysis of the equity markets in China," Review of Financial Economics, John Wiley & Sons, vol. 8(1), pages 41-60.
  • Handle: RePEc:wly:revfec:v:8:y:1999:i:1:p:41-60
    DOI: 10.1016/S1058-3300(99)00006-3
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    References listed on IDEAS

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    1. Reinganum, Marc R., 1983. "The anomalous stock market behavior of small firms in January : Empirical tests for tax-loss selling effects," Journal of Financial Economics, Elsevier, vol. 12(1), pages 89-104, June.
    2. Peterson, David R., 1990. "Stock Return Seasonalities and Earnings Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(2), pages 187-201, June.
    3. Fischer, Stanley & Merton, Robert C., 1984. "Macroeconomics and finance: The role of the stock market," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 21(1), pages 57-108, January.
    4. Levine, Ross & Zervos, Sara, 1996. "Stock Market Development and Long-Run Growth," The World Bank Economic Review, World Bank, vol. 10(2), pages 323-339, May.
    5. Peter Fortune, 1991. "Stock market efficiency: an autopsy?," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 17-40.
    6. Corrado, Charles J. & Schatzberg, John, 1990. "A Nonparametric Distribution-Free Test for Serial Independence in Stock Returns: A. Correction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(3), pages 411-415, September.
    7. Bookstaber, Richard M & McDonald, James B, 1987. "A General Distribution for Describing Security Price Returns," The Journal of Business, University of Chicago Press, vol. 60(3), pages 401-424, July.
    8. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    9. Branch, Ben & Chang, Kyungchun, 1985. "Tax-Loss Trading, Is the Game Over or Have the Rules Changed?," The Financial Review, Eastern Finance Association, vol. 20(1), pages 55-69, February.
    10. Rogalski, Richard J, 1984. "New Findings Regarding Day-of-the-Week Returns over Trading and Non-trading Periods: A Note," Journal of Finance, American Finance Association, vol. 39(5), pages 1603-1614, December.
    11. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. Bailey, Warren, 1994. "Risk and return on China's new stock markets: Some preliminary evidence," Pacific-Basin Finance Journal, Elsevier, vol. 2(2-3), pages 243-260, May.
    14. Branch, Ben, 1977. "A Tax Loss Trading Rule," The Journal of Business, University of Chicago Press, vol. 50(2), pages 198-207, April.
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    Cited by:

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    2. Bolek Monika & Gniadkowska-Szymańska Agata & Lyroudi Katerina, 2022. "Covid-19 Pandemic and Day-of-the-week Anomaly in Omx Markets," Central European Economic Journal, Sciendo, vol. 9(56), pages 158-177, January.

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