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Do investors post messages differently from mobile devices? The correlation between mobile Internet messages posting and stock returns

Author

Listed:
  • Lixing Mei

    (GF Securities)

  • Yulei Rao

    (Central South University)

  • Mei Wang

    (WHU-Otto Beisheim School of Management)

  • Jianxin Wang

    (Central South University)

Abstract

Mobile Internet has become a popular channel for investors to share their information and ideas about investment. This paper investigates the relation between frequency of mobile Internet messages and subsequent stock returns. We find that firms with higher proportion of mobile Internet messages on average earn a significant return premium even after controlling for well-known risk factors. Moreover, the marginal effect of mobile Internet messages is more pronounced among stocks in weaker information environments (i.e., higher fraction of individual ownership and lower analysts following). Further results suggest this correlation is more likely to be driven by “noise” rather than “information.” We also provide evidence that the lack of liquidity can explain the persistence of the correlation between mobile Internet messages and stock returns. Our findings highlight the importance for financial market participants to consider the peer-based opinions from mobile Internet.

Suggested Citation

  • Lixing Mei & Yulei Rao & Mei Wang & Jianxin Wang, 2019. "Do investors post messages differently from mobile devices? The correlation between mobile Internet messages posting and stock returns," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 66(4), pages 423-452, December.
    • Handle: RePEc:spr:inrvec:v:66:y:2019:i:4:d:10.1007_s12232-019-00329-6
    DOI: 10.1007/s12232-019-00329-6
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    as
    1. Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.
    2. Shive, Sophie, 2010. "An Epidemic Model of Investor Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 169-198, February.
    3. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    4. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2010. "Sell‐Side School Ties," Journal of Finance, American Finance Association, vol. 65(4), pages 1409-1437, August.
    5. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2008. "The Small World of Investing: Board Connections and Mutual Fund Returns," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 951-979, October.
    6. Wurgler, Jeffrey, 2000. "Financial markets and the allocation of capital," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 187-214.
    7. Söhnke M. Bartram & Gregory Brown & René M. Stulz, 2012. "Why Are U.S. Stocks More Volatile?," Journal of Finance, American Finance Association, vol. 67(4), pages 1329-1370, August.
    8. Zoran Ivkovi & Scott Weisbenner, 2007. "Information Diffusion Effects in Individual Investors' Common Stock Purchases: Covet Thy Neighbors' Investment Choices," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1327-1357.
    9. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    10. Yexiao Xu & Burton G. Malkiel, 2003. "Investigating the Behavior of Idiosyncratic Volatility," The Journal of Business, University of Chicago Press, vol. 76(4), pages 613-644, October.
    11. Artyom Durnev & Randall Morck & Bernard Yeung & Paul Zarowin, 2003. "Does Greater Firm‐Specific Return Variation Mean More or Less Informed Stock Pricing?," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 797-836, December.
    12. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    13. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    14. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    15. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    16. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    17. Jeffrey R. Brown & Zoran Ivković & Paul A. Smith & Scott Weisbenner, 2008. "Neighbors Matter: Causal Community Effects and Stock Market Participation," Journal of Finance, American Finance Association, vol. 63(3), pages 1509-1531, June.
    18. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    19. Duflo, Esther & Saez, Emmanuel, 2002. "Participation and investment decisions in a retirement plan: the influence of colleagues' choices," Journal of Public Economics, Elsevier, vol. 85(1), pages 121-148, July.
    20. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    21. 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.
    22. repec:bla:jfinan:v:59:y:2004:i:1:p:137-163 is not listed on IDEAS
    23. Cormac O Grada & Morgan Kelly, 2000. "Market Contagion: Evidence from the Panics of 1854 and 1857," American Economic Review, American Economic Association, vol. 90(5), pages 1110-1124, December.
    24. Shiller, 021Robert J. & Pound, John, 1989. "Survey evidence on diffusion of interest and information among investors," Journal of Economic Behavior & Organization, Elsevier, vol. 12(1), pages 47-66, August.
    25. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2005. "Thy Neighbor's Portfolio: Word‐of‐Mouth Effects in the Holdings and Trades of Money Managers," Journal of Finance, American Finance Association, vol. 60(6), pages 2801-2824, December.
    26. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    27. Tor-Erik Bakke & Toni M. Whited, 2010. "Which Firms Follow the Market? An Analysis of Corporate Investment Decisions," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1941-1980.
    28. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    29. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    30. Chan, Kalok & Hameed, Allaudeen, 2006. "Stock price synchronicity and analyst coverage in emerging markets," Journal of Financial Economics, Elsevier, vol. 80(1), pages 115-147, April.
    31. Seshadri Tirunillai & Gerard J. Tellis, 2012. "Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance," Marketing Science, INFORMS, vol. 31(2), pages 198-215, March.
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    More about this item

    Keywords

    Mobile Internet; Stock returns; Information; Noise; Liquidity;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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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