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Five Open Questions About Prediction Markets

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  • Justin Wolfers
  • Eric Zitzewitz

Abstract

Interest in prediction markets has increased in the last decade, driven in part by the hope that these markets will prove to be valuable tools in forecasting, decision-making and risk management -- in both the public and private sectors. This paper outlines five open questions in the literature, and we argue that resolving these questions is crucial to determining whether current optimism about prediction markets will be realized.

Suggested Citation

  • Justin Wolfers & Eric Zitzewitz, 2006. "Five Open Questions About Prediction Markets," NBER Working Papers 12060, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:12060
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    References listed on IDEAS

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    1. Erik Snowberg & Justin Wolfers & Eric Zitzewitz, 2007. "Partisan Impacts on the Economy: Evidence from Prediction Markets and Close Elections," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 807-829.
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    3. Slemrod, Joel & Greimel, Timothy, 1999. "Did Steve Forbes scare the US municipal bond market?," Journal of Public Economics, Elsevier, vol. 74(1), pages 81-96, October.
    4. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    5. Joyce E. Berg & Thomas A. Rietz, 2003. "Prediction Markets as Decision Support Systems," Information Systems Frontiers, Springer, vol. 5(1), pages 79-93, January.
    6. Wolfers, Justin & Zitzewitz, Eric, 2006. "Interpreting Prediction Market Prices as Probabilities," IZA Discussion Papers 2092, Institute of Labor Economics (IZA).
    7. Leigh, Andrew & Wolfers, Justin & Zitzewitz, Eric, 2003. "What do Financial Markets Think of War in Iraq?," Research Papers 1785, Stanford University, Graduate School of Business.
    8. Wolfers Justin & Zitzewitz Eric, 2004. "Experimental Political Betting Markets and the 2004 Election," The Economists' Voice, De Gruyter, vol. 1(2), pages 1-8, October.
    9. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    10. Thaler, Richard H & Ziemba, William T, 1988. "Parimutuel Betting Markets: Racetracks and Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 2(2), pages 161-174, Spring.
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    13. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
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    Citations

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    Cited by:

    1. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V., 2016. "Probabilistic forecasting with discrete choice models: Evaluating predictions with pseudo-coefficients of determination," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1021-1030.
    2. Wolfers, Justin & Zitzewitz, Eric, 2006. "Prediction Markets in Theory and Practice," CEPR Discussion Papers 5578, C.E.P.R. Discussion Papers.
    3. Werner Antweiler, 2012. "Long-Term Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 6(3), pages 43-61.
    4. Roth Tran, Brigitte, 2015. "Divest, Disregard, or Double Down?," University of California at San Diego, Economics Working Paper Series qt1hw1k2ps, Department of Economics, UC San Diego.
    5. Richard Borghesi, 2017. "Liquidity, overpricing, and the tactics of informed traders," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 701-713, October.
    6. Ke Wan & Alain Kornhauser, 2023. "Market Making and Pricing of Financial Derivatives based on Road Travel Times," Papers 2305.02523, arXiv.org, revised May 2023.
    7. Abraham Othman & Tuomas Sandholm, 2013. "The Gates Hillman prediction market," Review of Economic Design, Springer;Society for Economic Design, vol. 17(2), pages 95-128, June.
    8. Lionel Page & Robert T. Clemen, 2013. "Do Prediction Markets Produce Well‐Calibrated Probability Forecasts?-super-," Economic Journal, Royal Economic Society, vol. 123(568), pages 491-513, May.
    9. Bo Cowgill & Eric Zitzewitz, 2015. "Corporate Prediction Markets: Evidence from Google, Ford, and Firm X," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1309-1341.
    10. Ahrash Dianat & Christoph Siemroth, 2021. "Improving decisions with market information: an experiment on corporate prediction markets," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 143-176, March.
    11. Richard Borghesi, 2014. "The impact of the disposition effect on asset prices: insight from the NBA," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 698-711, October.
    12. David S. Lee & Enrico Moretti, 2009. "Bayesian Learning and the Pricing of New Information: Evidence from Prediction Markets," American Economic Review, American Economic Association, vol. 99(2), pages 330-336, May.
    13. Jackson, Aaron L., 2010. "Policy futures markets with multiple goals," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 45-54, March.
    14. Acker, Daniella & Duck, Nigel W., 2015. "Political risk, investor attention and the Scottish Independence referendum," Finance Research Letters, Elsevier, vol. 13(C), pages 163-171.
    15. Frank M. A. Klingert & Matthias Meyer, 2012. "Effectively combining experimental economics and multi-agent simulation: suggestions for a procedural integration with an example from prediction markets research," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 63-90, March.
    16. Gikas A. Hardouvelis & Dimitrios D. Thomakos, 2007. "Consumer Confidence and Elections," Working Paper series 42_07, Rimini Centre for Economic Analysis.
    17. Patrick Buckley & Fergal O’Brien, 0. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    18. repec:rim:rimwps:42-07 is not listed on IDEAS
    19. R. Karina Gallardo & B. Wade Brorsen & Jayson Lusk, 2010. "Prediction markets: an experimental approach to forecasting cattle on feed," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(3), pages 414-426, November.
    20. Yu, Dian & Gao, Jianjun & Wang, Tongyao, 2022. "Betting market equilibrium with heterogeneous beliefs: A prospect theory-based model," European Journal of Operational Research, Elsevier, vol. 298(1), pages 137-151.
    21. Katarína Kálovcová & Andreas Ortmann, 2009. "Understanding the Plott-Wit-Yang Paradox," Journal of Prediction Markets, University of Buckingham Press, vol. 3(3), pages 33-44, December.
    22. Tongkui Yu & Shu-Heng Chen, 2011. "Agent-Based Modeling of the Prediction Markets," ASSRU Discussion Papers 1119, ASSRU - Algorithmic Social Science Research Unit.
    23. 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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    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G1 - Financial Economics - - General Financial Markets
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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