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Prediction Markets In The Laboratory

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  • Cary Deck
  • David Porter

Abstract

The idea that there is wisdom from the collective has been forcefully described in “The Wisdom of the Crowds” by James Surowiecki, who argues that the aggregation of information in groups results in better decisions than those that are afforded by any single member of the group. Markets, like opinion polls, are one mechanism for aggregating disparate pieces of information. The aggregation properties of prices were first noted by Hayek (1945) and were formally examined by Muth (1961). In particular, Hayek argues that market prices serve the purpose of sharing and coordinating local and personal knowledge, while Muth shows that markets do not waste information and that the current price contains all the information available from market participants.
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  • Cary Deck & David Porter, 2013. "Prediction Markets In The Laboratory," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 589-603, July.
    • Handle: RePEc:bla:jecsur:v:27:y:2013:i:3:p:589-603
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    File URL: http://hdl.handle.net/10.1111/joes.2013.27.issue-3
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    2. Boulu-Reshef, Béatrice & Comeig, Irene & Donze, Robert & Weiss, Gregory D., 2016. "Risk aversion in prediction markets: A framed-field experiment," Journal of Business Research, Elsevier, vol. 69(11), pages 5071-5075.
    3. Patrick Buckley & Fergal O’Brien, 0. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    4. Page, Lionel & Siemroth, Christoph, 2017. "An experimental analysis of information acquisition in prediction markets," Games and Economic Behavior, Elsevier, vol. 101(C), pages 354-378.
    5. Brice Corgnet & Cary Deck & Mark DeSantis & Kyle Hampton & Erik O. Kimbrough, 2023. "When Do Security Markets Aggregate Dispersed Information?," Management Science, INFORMS, vol. 69(6), pages 3697-3729, June.
    6. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2022. "Manipulation and (Mis)trust in Prediction Markets," Management Science, INFORMS, vol. 68(9), pages 6716-6732, September.
    7. Halim, Edward & Riyanto, Yohanes E. & Roy, Nilanjan & Wang, Yan, 2022. "The Bright Side of Dark Markets: Experiments," MPRA Paper 111803, University Library of Munich, Germany.
    8. Corgnet, Brice & Deck, Cary & DeSantis, Mark & Porter, David, 2018. "Information (non)aggregation in markets with costly signal acquisition," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 286-320.
    9. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    10. Pablo Brañas-Garza & Jaromír Kovářík & Levent Neyse, 2013. "Second-to-Fourth Digit Ratio Has a Non-Monotonic Impact on Altruism," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
    11. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
    12. Lionel Page & Christoph Siemroth, 2021. "How Much Information Is Incorporated into Financial Asset Prices? Experimental Evidence," Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4412-4449.
    13. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
    14. Deck, Cary & Hao, Li & Porter, David, 2015. "Do prediction markets aid defenders in a weak-link contest?," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 248-258.
    15. 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.

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