Tweets and trades: The information content of stock microblogs

European Financial Management

Volumn 20, Issue 5, 2014, Pages 926-957

  Sprenger, Timm O ^a   Tumasjan, Andranik ^a   Sandner, Philipp G ^a   Welpe, Isabell M ^a  

^a TUM SCHOOL OF MANAGEMENT   (Germany)

Author keywords

computational linguistics; investor sentiment; microblogging; stock market; text classification; Twitter

Indexed keywords

EID: 84911444928     PISSN: 13547798     EISSN: 1468036X     Source Type: Journal    
DOI: 10.1111/j.1468-036X.2013.12007.x     Document Type: Article

References (61)

1. Amihud, Y., 'Illiquidity and stock returns: cross-section and time-series effects', Journal of Financial Markets, Vol. 5, 2002, pp. 31-56.
2. Antweiler, W. and Frank, M.Z., 'Is all that talk just noise? The information content of internet stock message boards', Journal of Finance, Vol. 59, 2004, pp. 1259-94.
3. Antweiler, W. and Frank, M.Z., 'Is all that talk just noise? The information content of internet stock message boards', Working Paper (2002), Available at http://strategy.sauder.ubc.ca/antweiler/public/noise-a.pdf
4. Barber, B. and Odean, T., 'Trading is hazardous to your wealth: The common stock investment performance of individual investors', Journal of Finance, Vol. 55, 2000, pp. 773-806.
5. Barber, B. and Odean, T., 'All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors', Review of Financial Studies, Vol. 21, 2008, pp. 785-818.
6. Black, F., 'Noise', Journal of Finance, Vol. 41, 1986, pp. 529-43.
7. Bollen, J., Mao, H. and Zeng, X-J., 'Twitter mood predicts the stock market', Journal of Computational Science, Vol. 2, 2011, pp. 1-8.
8. Boyd, D., Golder, S. and Lotan, G., 'Tweet, tweet, retweet: conversational aspects of retweeting on Twitter', Proceedings of the 43rd Hawaii International Conference on System Sciences, 2010, (pp. 1-10), Kauai, HI: HICSS.
9. Brown, G.W., 'Volatility, sentiment, and noise traders', Financial Analysts Journal, Vol. 55, 1999, pp. 82-90.
10. Buckley, C., Salton, G. and Allan, J., 'Automatic retrieval with locality information using SMART', First Text Retrieval Conference, 1993, (pp. 59-72), Gaitherburg, MD: NIST.
11. BusinessWeek, 'Stock Twits may change how you trade', BusinessWeek online edition (author Max Zeledon), 2009, Available http://www.businessweek.com/technology/content/feb2009/tc20090210_875439.htm
12. Cameron, A.C. and Trivedi, P.K., Regression Analysis of Count Data (Cambridge University Press Cambridge 1998).
13. Campbell, J.A., 'In and out scream and shout: An internet conversation about stock price manipulation', Proceedings of the 34th Hawaii International Conference on System Sciences, 2001, (pp. 1-10), Maui, HI: HICSS.
14. Cao, H.H., Coval, J.D. and Hirshleifer, D., 'Sidelined investors, trading-generated news, and security returns', Review of Financial Studies, Vol. 15, 2002, pp. 615-48.
15. Cha, M., Haddadi, H., Benevenuto F. and Gummadi K.P., 'Measuring user influence in Twitter: The million follower fallacy', Proceedings of the International Conference on Weblogs and Social Media, 2010, (pp. 10-17), Washington, DC: AAAI.
16. Danthine, J-P. and Moresi, S., 'Volatility, information, and noise trading', European Economic Review, Vol. 37, 1993, pp. 961-82.
17. Das, S. and Chen, M., 'Yahoo! for Amazon: Sentiment extraction from small talk on the web', Management Science, Vol. 53, 2007, pp. 1375-88.
18. Das, S., Martinez-Jerez, A. and Tufano, P., 'eInformation: a clinical study of investor discussion and sentiment', Financial Management, Vol. 34, 2005, pp. 103-37.
19. De Long, J.B., Shleifer, A., Summers, L.H. and Waldmann, R.J., 'Noise trader risk in financial markets', Journal of Political Economy, Vol. 98, 1990, pp. 703-38.
20. Delort, J-Y., Arunasalam, B., Milosavljevic, M. and Leung, H., 'The impact of manipulation in internet stock message boards', Working Paper (2009), Available at http://ssrn.com/abstract=1497883
21. DeMarzo, P.M., Vayanos, D. and Zwiebel, J., 'Persuasion bias, social influence, and unidimensional opinions', Quarterly Journal of Economics, Vol. 118, 2003, pp. 909-68.
22. Dewally, M., 'Internet investment advice: Investing with a rock of salt', Financial Analysts Journal, Vol. 59, 2003, pp. 65-77.
23. Dyckman, T., Philbrick, D. and Stephan, J., 'A comparison of event study methodologies using daily stock returns: a simulation approach', Journal of Accounting Research, Vol. 22, 1984, pp. 1-30.
24. Easley, D. and O'Hara, M., 'Price, trade size, and information in securities markets', Journal of Financial Economics, Vol. 19, 1987, pp. 69-90.
25. Fan, M., Tan, Y. and Whinston, A.B., 'Evaluation and design of online cooperative feedback mechanisms for reputation management', IEEE Transactions on Knowledge and Data Engineering, Vol. 17, 2005, pp. 244-54.
26. Giller, G.L., 'Maximum likelihood estimation of a poissonian count rate function for the followers of a twitter account making directional forecasts of the stock market', Working Paper (2009), available at http://ssrn.com/abstract=1423628
27. Gu, B., Konana, P. and Chen, H-W., 'Melting-pot or homophily? An empirical investigation of user interactions in virtual investment-related communities', Working Paper (2008), available at http://ssrn.com/abstract=1259224
28. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten I.H., 'The WEKA data mining software: An update', SIGKDD Explorations, Vol. 11, 2009, pp. 10-18.
29. Harris, M. and Raviv, A., 'Differences of opinion make a horse race', Review of Financial Studies, Vol. 6, 1993, pp. 473-506.
30. Hirshleifer, D. and Teoh, S., 'Limited attention, information disclosure, and financial reporting', Journal of Accounting and Economics, Vol. 36, 2003, pp. 337-86.
31. Hong, H., Kubik, J. and Stein, J.C., 'Thy neighbor's portfolio: word-of-mouth effects in the holdings and trades of money managers', Journal of Finance, Vol. 60, 2005, pp. 2801-24.
32. Jones, C.M., Kaul, G. and Lipson, M.L., 'Transactions, volume, and volatility', Review of Financial Studies, Vol. 7, 1994, pp. 631-51.
33. Jordan, J., 'Hedge fund will track Twitter to predict stock moves', Bloomberg (online edition), 2010, available at http://www.bloomberg.com/news/2010-12-22/hedge-fund-will-track-twitter-to-predict-stockmarket-movements.html
34. Karpoff, J.M., 'A theory of trading volume', Journal of Finance, Vol. 41, 1986, pp. 1069-87.
35. Kim, O. and Verrecchia, R., 'Trading volume and price reactions to public announcements', Journal of Accounting Research, Vol. 29, 1991, pp. 302-21.
36. Koppel, M. and Shtrimberg, I., 'Good news or bad news? Let the market decide', Computing Attitude and Affect in Text: Theory and Applications, Vol. 20, 2006, pp. 297-301.
37. Koski, J.L., Rice, E.M. and Tarhouni, A., 'Noise trading and volatility: Evidence from day trading and message boards', Working Paper (2004), available athttp://ssrn.com/abstract=533943
38. Milgrom, P. and Stokey, N., 'Information, trade and common knowledge', Journal of Economic Theory, Vol. 26, 1982, pp. 17-27.
39. Mizrach, B. and Weerts, S., 'Experts online: an analysis of trading activity in a public Internet chat room', Journal of Economic Behavior & Organization, Vol. 70, 2009, pp. 266-81.
40. Newcomb, T.M., 'An approach to the study of communicative acts', Psychological Review, Vol. 60, 1953, pp. 393-404.
41. Ng, L. and Wu, F., 'Peer effects in the trading decisions of individual investors', Financial Management, Vol. 39, 2006, pp. 807-31.
42. Parkinson, M., 'The extreme value method for estimating the variance of the rate of return', Journal of Business, Vol. 53, 1980, pp. 61-65.
43. Porter, M.F., 'An algorithm for suffix stripping', Program, Vol. 14, 1980, pp. 130-37.
44. Rennie, J.D., Shih, L., Teevan, J. and Karger, D.R., 'Tackling the poor assumptions of Naive Bayes text classifiers', Proceedings of the Twentieth International Conference on Machine Learning, 2003, (pp. 616-23), Washington DC: AAAI.
45. Romero D.M., Galuba, W., Asur, S. and Huberman, B.A., 'Influence and passivity in social media', Working Paper (2010), available at http://arxiv.org/PS_cache/arxiv/pdf/1008/1008.1253v1.pdf
46. Sabherwal, S., Sarkar, S.K. and Zhang, Y., 'Online talk: does it matter?', Managerial Finance, Vol. 34, 2008, pp. 423-36.
47. Shalen, C.T., 'Volume, volatility, and the dispersion of beliefs', Review of Financial Studies, Vol. 6, 1993, pp. 405-34.
48. Sprenger, T.O., Sandner, P.G., Tumasjan, A. and Welpe, I.M., 'News or noise? The stock market reaction to different types of company-specific news events.', Working Paper (TechnischeUniversitätMünchen, TUM School of Management, 2012).
49. Sprenger, T.O. and Welpe, I.M., 'Tweets and peers: Defining industry groups and strategic peers based on investor perceptions of stocks on Twitter.', Algorithmic Finance, Vol. 1, 2011, 57-76
50. Tetlock, P.C., Saar-Tsechansky, M. and Macskassy, S., 'More than words: quantifying language to measure firms' fundamentals', Journal of Finance, Vol. 63, 2008, pp. 1437-67.
51. Tumarkin, R. and Whitelaw, R.F., 'News or noise? Internet postings and stock prices', Financial Analysts Journal, Vol. 57, 2001, pp. 41-51.
52. Tumasjan, A., Sprenger, T.O., Sandner, P.G. and Welpe, I.M., 'Election forecasts with Twitter: how 140 characters reflect the political landscape', Social Science Computer Review, Vol. 29, pp. 402-18.
53. van Bommel, J., 'Rumors', Journal of Finance. Vol. 58, 2003, pp. 1499-1520.
54. Vincent, A. and Armstrong M., 'Predicting break-points in trading strategies with Twitter', Working Paper (2010), available at http://ssrn.com/abstract=1685150
55. Wasko, M., Faraj, S. and Teigland, R., 'Collective action and knowledge contribution in electronic networks of practice', Journal of the Association for Information Systems, Vol. 5, 2004, pp. 493-513.
56. Wysocki, P., 'Cheap talk on the web: The determinants of postings on stock message boards', Working Paper (1998), Available at http://ssrn.com/abstract=160170
57. Yang, J. and Counts, S., 'Predicting the speed, scale, and range or information diffusion in Twitter', Proceedings of the International Conference on Weblogs and Social Media, 2010, (pp. 355-358), Washington, DC: AAAI.
58. ZDNet, 'Twitter turns six: 140 million users, 340 million tweets daily', ZDNet blog (author Zack Whittaker), 2012, Available at http://www.zdnet.com/blog/btl/twitter-turns-six-140-million-users-340-million-tweets-daily/72123
59. Zhang, X., Fuehres, H. and Gloor, P., 'Predicting stock market indicators through Twitter - "I hope it is not as bad as I fear"', Collaborative Innovations Networks Conference, 2010, (pp. 1-8), Savannah, GA: COIN.
60. Zhang, Y., 'Determinants of poster reputation on internet stock message boards', American Journal of Economics and Business Administration, Vol. 1, 2009, pp. 114-21.
61. Zhang, Y. and Swanson, P.E., 'Are day traders bias free? Evidence from internet message boards', Journal of Economic and Finance, Vol. 34, 2010, pp. 96-112.