Expert stock picker: The wisdom of (experts in) crowds

International Journal of Electronic Commerce

Volumn 15, Issue 3, 2011, Pages 73-102

  Hill, Shawndra ^a   Ready Campbell, Noah ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b Google Inc   (Japan)

Author keywords

data mining; prediction markets; social media; user generated content; wisdom of crowds

Indexed keywords

EID: 79955605784     PISSN: 10864415     EISSN: None     Source Type: Journal    
DOI: 10.2753/JEC1086-4415150304     Document Type: Article

References (25)

1. Amatriain, X.; Lathia, N.; Pujol, J.M.; Kwak, H.; and Oliver, N. The wisdom of the few: A collaborative filtering approach based on expert opinions from the Web. In SIGIR'09: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Boston: ACM Press, 2009, pp. 532-539.
2. Antweiler, W., and Frank, M.Z. Is all that talk just noise? The information content of Internet stock message boards. Journal of Finance, 59, 3 (2004), 1259-1294. (Pubitemid 38799762)
3. Avery, C.; Chevalier, J.; and Zeckhauser, R. The "CAPS" prediction system and stock market returns. HKS Faculty Research Working Papers Series RWP09-011, John F. Kennedy School of Government, Harvard University, 2009.
4. Cheung, M.Y.; Luo, C.; Sia, C.L.; and Chen, H. Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13, 4 (summer 2009), 9-38.
5. Dhar, V.; Chou D.; and Provost, F. Discovering interesting patterns for investment decision making with GLOWER-A genetic learner overlaid with entropy reduction. Data Mining and Knowledge Discovery, 4, 4 (2000), 251-280.
6. Dhar, V., III, and Chang, E. Does chatter matter? The impact of user-generated content on music sales. Journal of Interactive Marketing, 23, 4 (2009), 300-307.
7. Fang, L.H., and Yasuda, A. Are stars' opinions worth more? The relation between analyst reputation and recommendation values. Working paper, University of Pennsylvania, Wharton School, and INSEAD, 2009.
8. Foutz, N.Z., and Jank, W. The wisdom of crowds: Pre-release Forecasting via functional shape analysis of the online virtual stock market. Paper presented at the Marketing Science Conference, Singapore, 2007.
9. Givoly, D., and Lakonishok, J. The quality of analysts' forecasts of earnings. Financial Analysts Journal, 40, 5 (1984), 40-47.
10. Golub, B., and Jackson, M.O. Naive learning in social networks and the wisdom of crowds. American Economic Journal: Microeconomics, 2, 1 (2010), 112-149.
11. Gu, B.; Konana, P.; Liu, A.; Rajagopalan, B.; and Ghosh, J. Predictive value of stock message board sentiments. McCombs Research Paper no. IROM-11-06, University of Texas at Austin, 2006.
12. Hendricks, K.B., and Singhal, V.R. The long-run stock price performance of firms with effective TQM programs. Management Science, 47, 3 (2001), 359-368. (Pubitemid 34192769)
13. Hirschey, M.; Richardson, V.J.; and Scholz, S. Stock-price effects of internet buy-sell recommendations: The Motley Fool case. Financial Review, 35, 2 (2000), 147-174.
14. Jordan, M.I., and Jacobs, R.A. Hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6, 2 (1994), 181-214.
15. Julià, C.; Sappa, A.D.; Lumbreras, F.; Serrat, J.; and López, A. Predicting missing ratings in recommender systems: Adapted factorization approach. International Journal of Electronic Commerce, 14, 2 (winter 2009-10), 89-108.
16. Kittur, A., and Kraut, R.E. Harnessing the wisdom of crowds in Wikipedia: Quality through coordination. In Proceedings of the ACM 2008 Conference on Computer Supported Cooperative Work. New York: ACM Press, 2008, pp. 37-46.
17. Kittur, A.; Chi, E.; Pendleton, B.A.; Suh, B.; and Mytkowicz, T. Power of the few vs. wisdom of the crowd: Wikipedia and the rise of the bourgeoisie. World Wide Web Internet and Web Information Systems, 1, 2 (2007), 1-9.
18. Schumaker, R., and Chen, H. Textual analysis of stock market prediction using breaking financial news: The AZFIN text system. ACM Transactions on Information Systems, 27, 2 (2009), 1-19.
19. Seyhun, H.N. Why does aggregate insider trading predict future stock returns? Quarterly Journal of Economics, 107, 4 (1992), 1303-1331.
20. Seyhun, H.N. Investment Intelligence from Insider Trading. Cambridge: MIT Press, 1998.
21. Sharpe, W.F. The Sharpe ratio. Journal of Portfolio Management, 21, 1 (1994), 49-58.
22. Surowiecki, J. The Wisdom of Crowds: Why the Many Are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations. New York: Doubleday, 2004.
23. Utz, S.; Matzat, U.; and Snijders, C. On-line reputation systems: The effects of feedback comments and reactions on building and rebuilding trust in on-line auctions. International Journal of Electronic Commerce, 13, 3 (spring 2009), 95-118.
24. Verna, P. User-generated content: More popular than profitable. eMarketer.com (January 2009) (available at www.emarketer.com/Report. aspx?code=emarketer-2000549/).
25. Wuthrich, B.; Cho, V.; Leung, S.; Permunetilleke, D.; Sankaran, K.; and Zhang, J. Daily stock market forecast from textual Web data. In 1998 IEEE International Conference on Systems, Man, and Cybernetics. Los Alamitos, CA: IEEE Computer Society Press, pp. 2720-2725.