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Market reaction to internet news: Information diffusion and price pressure

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  • Zhang, Yongjie
  • Song, Weixin
  • Shen, Dehua
  • Zhang, Wei

Abstract

A number of researchers have documented the market response to various recommendations from the mass media over different periods and summarised two main hypotheses for the underlying mechanisms: price pressure hypothesis (PPH) and information diffusion hypothesis (IDH). However, few studies have investigated the underlying mechanisms of the market reaction to Internet news. This paper uncovers the underlying mechanisms by examining the market reaction to Internet news mentioned in the daily “Investment Focus” and “Announcement Interpretation” in the column of “Ahead of Stock Market”. The empirical results show a significantly positive abnormal return and excessive trading volume on the event date. The cumulative abnormal return of “Announcement Interpretation” completely reverses within 50 trading days, which supports the PPH. The cumulative abnormal return of “Investment Focus” partially reverses within 50 trading days, which supports the IDH. By partitioning each sample into high information and low information subgroups, the empirical results further suggest that the PPH and IDH are not mutually exclusive. Taken together, the results provide some explanations for the market reaction to Internet news.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecmode:v:56:y:2016:i:c:p:43-49
    DOI: 10.1016/j.econmod.2016.03.020
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    References listed on IDEAS

    as
    1. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    2. Jin, Xi & Shen, Dehua & Zhang, Wei, 2016. "Has microblogging changed stock market behavior? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 151-156.
    3. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2015. "Tweets, Google trends, and sovereign spreads in the GIIPS," Oxford Economic Papers, Oxford University Press, vol. 67(2), pages 406-432.
    4. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    5. 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.
    6. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.
    7. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    8. Mathur, Ike & Waheed, Amjad, 1995. "Stock Price Reactions to Securities Recommended in Business Week's "Inside Wall Street."," The Financial Review, Eastern Finance Association, vol. 30(3), pages 583-604, August.
    9. Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
    10. Xu, Cheng Kenneth, 2000. "The microstructure of the Chinese stock market," China Economic Review, Elsevier, vol. 11(1), pages 79-97.
    11. Liang, Bing, 1999. "Price Pressure: Evidence from the "Dartboard" Column," The Journal of Business, University of Chicago Press, vol. 72(1), pages 119-134, January.
    12. 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(02), pages 273-284, June.
    13. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
    14. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    15. 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.
    16. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    17. Hanke, Michael & Hauser, Florian, 2008. "On the effects of stock spam e-mails," Journal of Financial Markets, Elsevier, vol. 11(1), pages 57-83, February.
    18. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(01), pages 109-126, March.
    19. 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.
    20. Albert, Robert Jr. & Smaby, Timothy R., 1996. "Market response to analyst recommendations in the "dartboard" column: the information and price-pressure effects," Review of Financial Economics, Elsevier, vol. 5(1), pages 59-74.
    21. Kim, Soon-Ho & Kim, Dongcheol, 2014. "Investor sentiment from internet message postings and the predictability of stock returns," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 708-729.
    22. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    23. Ferreira, Eurico J. & Smith, Stanley D., 1999. "Stock price reactions to recommendations in the Wall Street Journal "Small Stock Focus" column," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(3), pages 379-389.
    24. Mizrach, Bruce & Weerts, Susan, 2009. "Experts online: An analysis of trading activity in a public Internet chat room," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 266-281, May.
    25. Palmon, Oded & Sun, Huey-Lian & Tang, Alex P, 1994. "The Impact of Publication of Analysts' Recommendations on Returns and Trading Volume," The Financial Review, Eastern Finance Association, vol. 29(3), pages 395-417, August.
    26. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    27. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    28. Liu, Pu & Smith, Stanley D. & Syed, Azmat A., 1990. "Stock Price Reactions to The Wall Street Journal's Securities Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(03), pages 399-410, September.
    29. Siganos, Antonios & Vagenas-Nanos, Evangelos & Verwijmeren, Patrick, 2014. "Facebook's daily sentiment and international stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 730-743.
    30. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    31. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
    32. Charles J. Corrado, 2011. "Event studies: A methodology review," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(1), pages 207-234, March.
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