Abstract
We present a novel methodology for predicting future outcomes that uses small numbers of individuals participating in an imperfect information market. By determining their risk attitudes and performing a nonlinear aggregation of their predictions, we are able to assess the probability of the future outcome of an uncertain event and compare it to both the objective probability of its occurrence and the performance of the market as a whole. Experiments show that this nonlinear aggregation mechanism vastly outperforms both the imperfect market and the best of the participants. We then extend the mechanism to prove robust in the presence of public information.
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References
Anderson L., Holt C. Information cascades in the laboratory. American Economic Review 1997;87:847-862.
Camerer C., Weigelt K. Information mirages in experimental asset Markets. Journal of Business 1991;64:463-493.
Forsythe R., Lundholm R. Information aggregation in an experimental market. Econometrica 1990;58:309-347.
Forsythe R., Palfrey T., Plott C. Asset valuation in an experimental market. Econometrica, 1982;50:537-567.
Hayek F. The use of knowledge in society. American Economic Review, 1945;35(4):519-530.
Iowa Electronic Markets. http.//www.biz.uiowa.edu/iem.
Kullback S., Leibler R.A. On information and sufficiency. Annals of Mathematical Statistics, 1952;22:79-86.
Markowitz H. Portfolio Selection, NY: Wiley, 1959.
Nöth M., Camerer C., Plott C., Weber M. Information traps in experimental asset markets, Submitted to Review of Financial Studies, 1999.
Nöth M., Weber M. Information aggregation with random ordering: Cascades and overconfidence. University of Mannheim, Discussion Paper, presented at the Summer 1998 ESA Meetings, 1998.
O'Brien J., Srivastava S. Dynamic stock markets with multiple assets. Journal of Finance 1991;46:1811-1838.
Pennock D., Lawrence S., Giles C., Nielsen F. The power of play: Efficient and forecast accuracy in web market games. NEC Research Institute Technical Report 2000-168, 2000.
Plott C., Sunder S. Efficiency of experimental security markets with insider information: An application of rational expectations models. Journal of Political Economy 1982;90:663-698.
Plott C., Sunder S. Rational expectations and the aggregation of diverse information in laboratory security markets. Econometrica 1988;56:1085-1118.
Plott C., Wit J., Yang W. Pari-mutuel betting markets as information aggregation devices: Experimental results. Social Science Working Paper 986, California Institute of Technology, 1997.
Scharfstein D., Stein J. Herd behavior and investment. American Economic Review 1990;80:465-479.
Sunder S. Markets for information: Experimental evidence. Econometrica 1992;60:667-695.
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Chen, KY., Fine, L.R. & Huberman, B.A. Predicting the Future. Information Systems Frontiers 5, 47–61 (2003). https://doi.org/10.1023/A:1022041805438
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DOI: https://doi.org/10.1023/A:1022041805438