Harris and Raviv (1993), disagreement among the posted messages is associated with increased trading volume. Copyright 2004 by The American Finance Association.">

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Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards

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Author Info
Werner Antweiler (Sauder School of Business, University of British Columbia)
Murray Z. Frank (Sauder School of Business, University of British Columbia)

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Abstract

Financial press reports claim that Internet stock message boards can move markets. We study the effect of more than 1.5 million messages posted on Yahoo! Finance and Raging Bull about the 45 companies in the Dow Jones Industrial Average and the Dow Jones Internet Index. Bullishness is measured using computational linguistics methods. "Wall Street Journal" news stories are used as controls. We find that stock messages help predict market volatility. Their effect on stock returns is statistically significant but economically small. Consistent with Harris and Raviv (1993), disagreement among the posted messages is associated with increased trading volume. Copyright 2004 by The American Finance Association.

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Publisher Info
Article provided by American Finance Association in its journal The Journal of Finance.

Volume (Year): 59 (2004)
Issue (Month): 3 (06)
Pages: 1259-1294
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Handle: RePEc:bla:jfinan:v:59:y:2004:i:3:p:1259-1294

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  1. Glaser, Markus & Weber, Martin, 2005. "Which Past Returns Affect Trading Volume?," Sonderforschungsbereich 504 Publications 05-33, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim.
  2. Thomas Schuster, 2003. "Fifty-Fifty. Stock Recommendations and Stock Prices. Effects and Benefits of Investment Advice in the Business Media," Finance 0303002, EconWPA. [Downloadable!]
  3. Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Glaser, Markus & Weber, Martin, 2005. "Which Past Returns Affect Trading Volume?," SIFR Research Report Series 35, Institute for Financial Research. [Downloadable!]
  5. Jie Lu & Bruce Mizrach, 2007. "Is Talk Cheap Online: Strategic Interaction in A Stock Trading Chat Room," Departmental Working Papers 200701, Rutgers University, Department of Economics. [Downloadable!]
  6. Schmeling, Maik, 2006. "Institutional and Individual Sentiment: Smart Money and Noise Trader Risk," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-337, Universität Hannover, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
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  7. João Duque & Inês Pinto, 2008. "Regulatory disclosure via the internet: does it make financial markets more efficient?," Journal of Regulatory Economics, Springer, vol. 33(1), pages 5-19, February. [Downloadable!] (restricted)
  8. Glaser, Markus & Weber, Martin, 2005. "Overconfidence and Trading Volume," SIFR Research Report Series 40, Institute for Financial Research. [Downloadable!]
  9. Bruce Mizrach & Susan Weerts, 2004. "Experts Online: An Analysis of Trading Activity in a Public Internet Chat Room," Departmental Working Papers 200412, Rutgers University, Department of Economics. [Downloadable!]
  10. Matthew Gentzkow & Jesse M. Shapiro, 2006. "What Drives Media Slant? Evidence from U.S. Daily Newspapers," NBER Working Papers 12707, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. Peter C. Boxall, Wing H. Chan, and Melville L. McMillan, 2005. "The Impact of Oil and Natural Gas Facilities on Rural Residential Property," Working Papers eg0039, Wilfrid Laurier University, Department of Economics, revised 2005. [Downloadable!]
  12. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer, vol. 32(1), pages 1-36, June. [Downloadable!] (restricted)
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