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Incentive and Accuracy Issues in Movie Prediction Markets

Author

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  • Thomas S. Gruca
  • Joyce E. Berg
  • Michael Cipriano

Abstract

We compare the forecasts of nineteen movie box office results from real money (Iowa Electronic Market) and play money (Hollywood Stock Exchange) prediction markets. The forecasts were not significantly different, contrary to recent research on incentives and prediction market accuracy. Proponents of play money incentives suggest that (play) wealth concentrates in the hands of knowledgeable traders over time. This should lead to improved accuracy over time. A longitudinal analysis of results (1999-2002) from the play money Hollywood Stock Exchange fails to find significant improvement over time. This may be due to an increased number of less knowledgeable traders who, nevertheless, provide liquidity in the market.

Suggested Citation

  • Thomas S. Gruca & Joyce E. Berg & Michael Cipriano, 2008. "Incentive and Accuracy Issues in Movie Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 2(1), pages 29-43, May.
    • Handle: RePEc:buc:jpredm:v:2:y:2008:i:1:p:29-43
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    Citations

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    Cited by:

    1. Patrick Buckley & Fergal O’Brien, 0. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    2. Li Chen & Paulo Goes & Wynd Harris & James Marsden & John Zhang, 2010. "Preference Markets for Innovation Ranking and Selection," Interfaces, INFORMS, vol. 40(2), pages 144-153, April.
    3. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
    4. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    5. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    6. Joyce E. Berg & John Geweke & Thomas A. Rietz, 2010. "Memoirs of an indifferent trader: Estimating forecast distributions from prediction markets," Quantitative Economics, Econometric Society, vol. 1(1), pages 163-186, July.
    7. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    8. Patrick Buckley & Fergal O’Brien, 2017. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 19(3), pages 611-623, June.

    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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