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The Effect of Annual Earnings Announcements on the Chinese Stock Markets

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  • Shuhong Kong
  • Majid Taghavi

Abstract

This paper examines the annual earnings announcement effect of the stock markets in China. The investigation is based on events analysis and carried out by modeling the daily changes of stock returns using the M-EGARCH approach, by testing the news effects of annual earnings announcement on the conditional mean of abnormal return and the variance of the returns. It is found that a higher than expected earnings announcement leads to a rise in the conditional mean of stock returns on days before the news announcement and a fall afterwards. The conditional volatility of the changes are significantly reduced by bigger absolute values of reported earnings before the news announcement and increased afterwards, supporting the rejection of semi-strong-form efficiency. Copyright IAES 2006

Suggested Citation

  • Shuhong Kong & Majid Taghavi, 2006. "The Effect of Annual Earnings Announcements on the Chinese Stock Markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(3), pages 318-326, August.
    • Handle: RePEc:kap:iaecre:v:12:y:2006:i:3:p:318-326:10.1007/s11294-006-9020-8
    DOI: 10.1007/s11294-006-9020-8
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    References listed on IDEAS

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    Cited by:

    1. Muhammad Akbar & Humayun Habib Baig, 2010. "Reaction of Stock Prices to Dividend Announcements and Market Efficiency in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(1), pages 103-125, Jan-Jun.

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    More about this item

    Keywords

    G10; G12; G14;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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