Abstract
We describe a hybrid forecasting method called marketcast. Marketcasts are based on bid and ask orders from prediction markets, aggregated using techniques associated with survey methods, rather than market matching algorithms. We discuss the process of conversion from market orders to probability estimates, and simple aggregation methods. The performance of marketcasts is compared to a traditional prediction market and a traditional opinion poll. Overall, marketcasts perform approximately as well as prediction markets and opinion poll methods on most questions, and performance is stable across model specifications.
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References
Wolfers, J., Zitzewitz, E.: Prediction Markets. J. Econ. Perspect. 18, 107–126 (2004)
Mellers, B.A., Ungar, L.H., Baron, J., Ramos, J., Gurcay, B., Fincher, K., Scott, S., Moore, D., Atanasov, P., Swift, S., Tetlock, P.E.: Improving Geopolitical Forecasting with Teamwork, Training and Algorithms (manuscript under review)
Christiansen, J.D.: Prediction Markets: Practical Experiments in Small Markets and Behaviours Observed. J. of Prediction Markets. 1, 17–41 (2007)
Galton, F.: Vox Populi. Nature 75, 450–451 (1907)
Pennock, D.M.: A Dynamic Pari-Mutuel Market for Hedging, Wagering, and Information Aggregation. In: EC 2004 Proceedings of the 5th ACM Conference on Electronic Commerce, pp. 170–179. ACM, New York (2004)
Hanson, R.: Combinatorial Information Market Design. Inform. Syst. Front. 5, 107–119 (2003)
Cliff, D., Bruten, J.: Zero Not Enough: On The Lower Limit of Agent Intelligence For Continuous Double Auction Markets. HP Laboratories Technical Report HPL (1997)
Othman, A.: Zero-intelligence agents in prediction markets. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 2, pp. 879–886. International Foundation for Autonomous Agents and Multiagent Systems (2008)
Wolfers, J., Zitzewitz, E.: Interpreting prediction market prices as probabilities (No. w12200). National Bureau of Economic Research (2006)
Satopaa, V.A., Baron, J., Foster, D.P., Mellers, B.A., Tetlock, P.E., Ungar, L.H.: Combining Multiple Probability Predictions Using a Simple Logit Model (Manuscript under review)
Page, L., Clemen, R.T.: Do Prediction Markets Produce Well Calibrated Probability Forecasts? Econ. J. (2012)
Rothschild, D.: Forecasting Elections: Comparing Prediction Markets, Polls, and Their Biases. Public Opinion Q. 73, 895–916 (2009)
Baron, J., Ungar, L.H., Mellers, B.A., Tetlock, P.E.: Two Reasons To Make Aggregated Probability Forecasts More Extreme (manuscript under review)
Servan-Schreiber, E., Wolfers, J., Pennock, D., Galebach, B.: Prediction Markets: Does Money Matter? Electronic Markets, 243–251 (2004)
Brier, G.W.: Verification of forecasts expressed in terms of probability. Monthly weather review 78, 1–3 (1950)
Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 67(2), 301–320 (2005)
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Atanasov, P. et al. (2013). The Marketcast Method for Aggregating Prediction Market Forecasts. In: Greenberg, A.M., Kennedy, W.G., Bos, N.D. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2013. Lecture Notes in Computer Science, vol 7812. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37210-0_4
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DOI: https://doi.org/10.1007/978-3-642-37210-0_4
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