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Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks

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  • Shen, Dehua
  • Li, Xiao
  • Zhang, Wei

Abstract

In this paper, we introduce a novel proxy for media coverage by employing the number of news appeared in Baidu News and investigate its impacts on order imbalance and large-size trade in the Chinese stock market. By dividing the trading periods into news periods (np) and no news periods (nnp), the empirical results show that (1) trading volume in the nnp is significantly larger than that in the np; (2) large-size trade in the nnp is significantly larger than that in the np; and (3) the difference of order imbalance in nnp and np is less significant compared with large-size trade. Taken together, these results suggest that there exists institutional trading in the trading periods without media coverage.

Suggested Citation

  • Shen, Dehua & Li, Xiao & Zhang, Wei, 2017. "Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks," Finance Research Letters, Elsevier, vol. 23(C), pages 210-216.
    • Handle: RePEc:eee:finlet:v:23:y:2017:i:c:p:210-216
    DOI: 10.1016/j.frl.2017.06.008
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    as
    1. Harrison Hong & Jeremy C. Stein, 2007. "Disagreement and the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 109-128, Spring.
    2. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    3. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
    4. Varian, Hal R, 1985. "Divergence of Opinion in Complete Markets: A Note," Journal of Finance, American Finance Association, vol. 40(1), pages 309-317, March.
    5. Shenoy, Catherine & Zhang, Ying Jenny, 2007. "Order imbalance and stock returns: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(5), pages 637-650, December.
    6. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
    7. Darrat, Ali F. & Zhong, Maosen & Cheng, Louis T.W., 2007. "Intraday volume and volatility relations with and without public news," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2711-2729, September.
    8. Barber, Brad M. & Loeffler, Douglas, 1993. "The “Dartboard” Column: Second-Hand Information and Price Pressure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(2), pages 273-284, June.
    9. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    10. Stoll, Hans R. & Whaley, Robert E., 1990. "The Dynamics of Stock Index and Stock Index Futures Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 441-468, December.
    11. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    12. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.
    13. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    14. Zhang, Wei & Shen, Dehua & Zhang, Yongjie & Xiong, Xiong, 2013. "Open source information, investor attention, and asset pricing," Economic Modelling, Elsevier, vol. 33(C), pages 613-619.
    15. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    16. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    17. repec:bla:jfinan:v:53:y:1998:i:2:p:673-699 is not listed on IDEAS
    18. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
    19. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2002. "Order imbalance, liquidity, and market returns," Journal of Financial Economics, Elsevier, vol. 65(1), pages 111-130, July.
    20. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    21. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    22. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1997. "One Day in the Life of a Very Common Stock," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 805-835.
    23. Joseph E. Engelberg & Christopher A. Parsons, 2011. "The Causal Impact of Media in Financial Markets," Journal of Finance, American Finance Association, vol. 66(1), pages 67-97, February.
    24. Bailey, Warren & Cai, Jun & Cheung, Yan Leung & Wang, Fenghua, 2009. "Stock returns, order imbalances, and commonality: Evidence on individual, institutional, and proprietary investors in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 9-19, January.
    25. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    Full references (including those not matched with items on IDEAS)

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    21. Gang Chu & John W. Goodell & Xiao Li & Yongjie Zhang, 2023. "Understanding short‐term price pressure from index reconstitutions: Evidence from the CSI 300," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2421-2440, June.
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    More about this item

    Keywords

    Baidu news; Media coverage; Order imbalance; Large-size trade; Market microstructure;
    All these keywords.

    JEL classification:

    • 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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