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The Unusual Trading Volume and Earnings Surprises in China’s Market

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  • Chong, Terence Tai Leung
  • Wu, Yueer

Abstract

This study examines the empirical relationship between unusual trading volume and earnings surprises in China's A-share market. We provide evidence that an unusually low trading volume contains negative information about firm fundamentals. Moreover, unusual trading volumes could predict abnormal returns close to the earnings announcement date. The degree of and changes in the divergence of opinion could explain this result. Our study provides an insight into China's market, where short sales are strictly forbidden. We report a strong relationship that is quite different from that described in most studies on the United States market. The differences in the findings are likely due to differences in the nature of the market, which is consistent with Miller (1977).

Suggested Citation

  • Chong, Terence Tai Leung & Wu, Yueer, 2018. "The Unusual Trading Volume and Earnings Surprises in China’s Market," MPRA Paper 92162, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:92162
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    3. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588.
    5. Rangan Gupta & Chi Keng Marco Lau & Ruipeng Liu & Hardik A. Marfatia, 2019. "Price jumps in developed stock markets: the role of monetary policy committee meetings," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(2), pages 298-312, April.
    6. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    7. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    8. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    9. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    10. Mayshar, Joram, 1983. "On Divergence of Opinion and Imperfections in Capital Markets," American Economic Review, American Economic Association, vol. 73(1), pages 114-128, March.
    11. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    12. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    13. Ji, Qiang & Marfatia, Hardik & Gupta, Rangan, 2018. "Information spillover across international real estate investment trusts: Evidence from an entropy-based network analysis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 103-113.
    14. Ferhat Akbas, 2016. "The Calm before the Storm," Journal of Finance, American Finance Association, vol. 71(1), pages 225-266, February.
    15. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    16. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    17. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    18. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    19. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    20. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    21. Ioannis Chatziantoniou & David Gabauer & Hardik A. Marfatia, 2020. "Dynamic Connectedness And Spillovers Across Sectors: Evidence From The Indian Stock Market," Working Papers in Economics & Finance 2020-04, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    22. Kaniel, Ron & Ozoguz, Arzu & Starks, Laura, 2012. "The high volume return premium: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 103(2), pages 255-279.
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    More about this item

    Keywords

    Unusual trading volume; earnings surprises; divergence of opinion; stock return; China's market;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • 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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