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The effect of malicious manipulations on prediction market accuracy

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  • Patrick Buckley

    (University of Limerick)

  • Fergal O’Brien

    (University of Limerick)

Abstract

Prediction markets are a form of group decision support system which uses a market mechanism to elicit and aggregate information from large numbers of individuals. The literature recognises their potential as decision support tools, but also notes several issues of concern regarding their utility in an organisational setting. One critical concern is the possibility that prediction markets may be subject to malicious manipulation. This paper presents a field experiment which examines the effect of such manipulations on prediction market performance. We divide a sample of 72 contracts into a control group and an experimental group. Contracts in the experimental group are manipulated by a trader with a malicious motivation. The study demonstrates that manipulations do have an effect on prediction market accuracy, but that these effects are rapidly ameliorated by rational traders and shows that fear of malicious manipulation should not preclude the use of prediction markets as organisational decision making tools.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:3:d:10.1007_s10796-015-9617-7
    DOI: 10.1007/s10796-015-9617-7
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    1. Paul W. Rhode & Koleman Strumpf, 2008. "Historical Political Futures Markets: An International Perspective," NBER Working Papers 14377, National Bureau of Economic Research, Inc.
    2. Kay-Yut Chen & Leslie R. Fine & Bernardo A. Huberman, 2003. "Predicting the Future," Information Systems Frontiers, Springer, vol. 5(1), pages 47-61, January.
    3. Deck, Cary & Lin, Shengle & Porter, David, 2013. "Affecting policy by manipulating prediction markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 48-62.
    4. David Rajakovich & Vladimir Vladimirov, 2009. "Prediction Markets as a Medical Forecasting Tool: Demand for Hospital Services," Journal of Prediction Markets, University of Buckingham Press, vol. 3(2), pages 78-106, August.
    5. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
    6. Gerrit Kamp & Peter Koen, 2009. "Improving the Idea Screening Process within Organizations using Prediction Markets: A Theoretical Perspective," Journal of Prediction Markets, University of Buckingham Press, vol. 3(2), pages 39-64, August.
    7. Martin Waitz & Andreas Mild, 2009. "Improving Forecasting Accuracy in Corporate Prediction Markets - A Case Study in the Austrian Mobile Communication Industry," Journal of Prediction Markets, University of Buckingham Press, vol. 3(3), pages 49-62, December.
    8. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    9. Robin Hanson, 2007. "The Policy Analysis Market (A Thwarted Experiment in the Use of Prediction Markets for Public Policy)," Innovations: Technology, Governance, Globalization, MIT Press, vol. 2(3), pages 73-88, July.
    10. Joyce E. Berg & Thomas A. Rietz, 2003. "Prediction Markets as Decision Support Systems," Information Systems Frontiers, Springer, vol. 5(1), pages 79-93, January.
    11. Burton G. Malkiel, 2005. "Reflections on the Efficient Market Hypothesis: 30 Years Later," The Financial Review, Eastern Finance Association, vol. 40(1), pages 1-9, February.
    12. Caitlin Hall, 2010. "Prediction Markets: Issues and Applications," Journal of Prediction Markets, University of Buckingham Press, vol. 4(1), pages 27-58, May.
    13. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    15. repec:pri:cepsud:91malkiel is not listed on IDEAS
    16. Jacobsen, Ben & Potters, Jan & Schram, Arthur & van Winden, Frans & Wit, Jorgen, 2000. "(In)accuracy of a European political stock market: The influence of common value structures," European Economic Review, Elsevier, vol. 44(2), pages 205-230, February.
    17. Kenneth Oliven & Thomas A. Rietz, 2004. "Suckers Are Born but Markets Are Made: Individual Rationality, Arbitrage, and Market Efficiency on an Electronic Futures Market," Management Science, INFORMS, vol. 50(3), pages 336-351, March.
    18. Christina Ann LaComb & Janet Arlie Barnett & Qimei Pan, 2007. "The imagination market," Information Systems Frontiers, Springer, vol. 9(2), pages 245-256, July.
    19. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    20. Cary Deck & David Porter, 2013. "Prediction Markets In The Laboratory," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 589-603, July.
    21. Stefan Luckner & Christof Weinhardt, 2007. "How to Pay Traders in Information Markets: Results from a Field Experiment," Journal of Prediction Markets, University of Buckingham Press, vol. 1(2), pages 147-156, July.
    22. Stefan Luckner & Christof Weinhardt, 2007. "How to pay traders in information markets? Results from a field experiment," Artefactual Field Experiments 00107, The Field Experiments Website.
    23. Wolfers, Justin & Zitzewitz, Eric, 2006. "Five Open Questions About Prediction Markets," CEPR Discussion Papers 5562, C.E.P.R. Discussion Papers.
    24. Robert W. Hahn & Paul Tetlock, 2006. "Information Markets: A New Way of Making Decisions," Books, American Enterprise Institute, number 51409, September.
    25. Thomas S. Gruca & Joyce E. Berg, 2007. "Public Information Bias and Prediction Market Accuracy," Journal of Prediction Markets, University of Buckingham Press, vol. 1(3), pages 219-231, December.
    26. Henry Berg & Todd A. Proebsting, 2009. "Hanson's Automated Market Maker," Journal of Prediction Markets, University of Buckingham Press, vol. 3(1), pages 45-59, April.
    27. Hanson, Robin & Oprea, Ryan & Porter, David, 2006. "Information aggregation and manipulation in an experimental market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 449-459, August.
    28. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    29. 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.
    30. Robin Hanson, 2007. "Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 3-15, February.
    31. Georgios Tziralis & Ilias Tatsiopoulos, 2007. "Prediction Markets: An Extended Literature Review," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 75-91, February.
    32. Andreas Graefe & Christof Weinhardt, 2008. "Long-Term Forecasting with Prediction Markets - A Field Experiment on Applicability and Expert Confidence," Journal of Prediction Markets, University of Buckingham Press, vol. 2(2), pages 71-91, September.
    33. Lian Jian & Rahul Sami, 2012. "Aggregation and Manipulation in Prediction Markets: Effects of Trading Mechanism and Information Distribution," Management Science, INFORMS, vol. 58(1), pages 123-140, January.
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