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Influential investors in online stock forums

Author

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  • Ackert, Lucy F.
  • Jiang, Lei
  • Lee, Hoan Soo
  • Liu, Jie

Abstract

This paper uses data from an online stock forum to examine the behavior of influential investors, posters who are popular among forum members. Unlike prior research, we find that influential investors post messages based on information and target actively traded large firms. Their predictions are more likely to indicate subsequent returns, as compared to other investors. Influential investors exhibit a preference for local investments and, furthermore, their predictions for local firms are more likely to be correct, suggesting a true information advantage. Thus, these investors contribute to the overall functioning of the market by providing insight into targeted companies.

Suggested Citation

  • Ackert, Lucy F. & Jiang, Lei & Lee, Hoan Soo & Liu, Jie, 2016. "Influential investors in online stock forums," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 39-46.
  • Handle: RePEc:eee:finana:v:45:y:2016:i:c:p:39-46
    DOI: 10.1016/j.irfa.2016.02.001
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    References listed on IDEAS

    as
    1. Amir Rubin & Eran Rubin, 2010. "Informed Investors and the Internet," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7-8), pages 841-865.
    2. Nicolas Coeurdacier & Hélène Rey, 2013. "Home Bias in Open Economy Financial Macroeconomics," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 63-115, March.
    3. Joshua D. Coval & Tobias J. Moskowitz, 1999. "Home Bias at Home: Local Equity Preference in Domestic Portfolios," Journal of Finance, American Finance Association, vol. 54(6), pages 2045-2073, December.
    4. Baik, Bok & Kang, Jun-Koo & Kim, Jin-Mo, 2010. "Local institutional investors, information asymmetries, and equity returns," Journal of Financial Economics, Elsevier, vol. 97(1), pages 81-106, July.
    5. Joshua D. Coval & Tobias J. Moskowitz, 2001. "The Geography of Investment: Informed Trading and Asset Prices," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 811-841, August.
    6. Roland Benabou & Guy Laroque, 1992. "Using Privileged Information to Manipulate Markets: Insiders, Gurus, and Credibility," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 921-958.
    7. Sanjiv Sabherwal & Salil K. Sarkar & Ying Zhang, 2011. "Do Internet Stock Message Boards Influence Trading? Evidence from Heavily Discussed Stocks with No Fundamental News," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(9-10), pages 1209-1237, November.
    8. Mark Grinblatt & Matti Keloharju, 2001. "How Distance, Language, and Culture Influence Stockholdings and Trades," Journal of Finance, American Finance Association, vol. 56(3), pages 1053-1073, June.
    9. 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.
    10. Peter M. Clarkson & Daniel Joyce & Irene Tutticci, 2006. "Market reaction to takeover rumour in Internet Discussion Sites," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(1), pages 31-52, March.
    11. Huberman, Gur, 2001. "Familiarity Breeds Investment," Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 659-680.
    12. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    13. Franklin Allen & Lubomir Litov & Jianping Mei, 2006. "Large Investors, Price Manipulation, and Limits to Arbitrage: An Anatomy of Market Corners," Review of Finance, European Finance Association, vol. 10(4), pages 645-693, December.
    14. Axel Grorud & Monique Pontier, 2005. "Financial Market Model With Influential Informed Investors," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(06), pages 693-716.
    15. Sanjiv Sabherwal & Salil K. Sarkar & Ying Zhang, 2008. "Online talk: does it matter?," Managerial Finance, Emerald Group Publishing, vol. 34(6), pages 423-436, May.
    16. French, Kenneth R & Poterba, James M, 1991. "Investor Diversification and International Equity Markets," American Economic Review, American Economic Association, vol. 81(2), pages 222-226, May.
    17. Zoran Ivković & Scott Weisbenner, 2005. "Local Does as Local Is: Information Content of the Geography of Individual Investors' Common Stock Investments," Journal of Finance, American Finance Association, vol. 60(1), pages 267-306, February.
    18. Raf Orens & Walter Aerts & Denis Cormier, 2010. "Web‐Based Non‐Financial Disclosure and Cost of Finance," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(9‐10), pages 1057-1093, November.
    19. Ackert, Lucy F. & Huang, Yaru & Jiang, Lei, 2015. "Investor sentiment and price limit rules," Journal of Behavioral and Experimental Finance, Elsevier, vol. 5(C), pages 15-26.
    20. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    21. Sanjiv Das & Asís Martínez-Jerez & Peter Tufano, 2005. "eInformation: A Clinical Study of Investor Discussion and Sentiment," Financial Management, Financial Management Association, vol. 34(3), Fall.
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    Cited by:

    1. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
    2. Liu, Jian-Guo & Yang, Zhen-Hua & Li, Sheng-Nan & Yu, Chang-Rui, 2018. "A generative model for the collective attention of the Chinese stock market investors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1175-1182.
    3. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
    4. Minjian Ye & Guangzhong Li, 2017. "Internet big data and capital markets: a literature review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-18, December.
    5. Melody Y. Huang & Randall R. Rojas & Patrick D. Convery, 2020. "Forecasting stock market movements using Google Trend searches," Empirical Economics, Springer, vol. 59(6), pages 2821-2839, December.
    6. Xiong, Xiong & Meng, Yongqiang & Joseph, Nathan Lael & Shen, Dehua, 2020. "Stock mispricing, hard-to-value stocks and the influence of internet stock message boards," International Review of Financial Analysis, Elsevier, vol. 72(C).
    7. Nattapong Laksomya & John G. Powell & Suparatana Tanthanongsakkun & Sirimon Treepongkaruna, 2018. "Are Internet message boards used to facilitate stock price manipulation? Evidence from an emerging market, Thailand," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 275-309, November.
    8. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Lu, Zhou, 2020. "The impact of Baidu Index sentiment on the volatility of China's stock markets," Finance Research Letters, Elsevier, vol. 32(C).

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