Skip to main content
Log in

The effect of malicious manipulations on prediction market accuracy

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abramowicz, M. (1999). The Law and Markets Movement. The American University Law Review, 49, 327–431.

    Google Scholar 

  • Berg, H., & Proebsting, T. A. (2009). Hanson’s Automated Market Maker. The Journal of Prediction Markets, 3(1), 45–59.

    Google Scholar 

  • Berg, J. E., & Rietz, T. A. (2003). Prediction Markets as Decision Support Systems. Information Systems Frontiers, 5(1), 79–93.

    Article  Google Scholar 

  • Berg, J. E., & Rietz, T. A. (2006). The Iowa Electronic Markets: Stylized Facts and Open Issues. In R. W. Hahn, & P. C. Tetlock (Eds.), Information Markets: A New Way of Making Decisions (pp. 142–169). Washington D.C: AEI-Brookings Joint Center for Regulatory Studies.

    Google Scholar 

  • Chen, K.-Y., Fine, L. R., & Huberman, B. A. (2003). Predicting the Future. Information Systems Frontiers, 5(1), 47–61.

    Article  Google Scholar 

  • Chen, Y., et al. (2010). Gaming Prediction Markets: Equilibrium Strategies with a Market Maker. Algorithmica, 58(4), 930–969.

    Article  Google Scholar 

  • Deck, C. & Porter, D., 2013. Prediction Markets in the Laboratory. Journal of Economic Surveys, p.n/a–n/a.

  • Deck, C., Lin, S., & Porter, D. (2013). Affecting policy by manipulating prediction markets: Experimental evidence. Journal of Economic Behavior & Organization, 85, 48–62.

    Article  Google Scholar 

  • Ellis, D. G., & Fisher, B. A. (1994). Small Group Decision Making: Communication and the Group Process (4th ed., ). New York: McGraw-Hill Book Company.

    Google Scholar 

  • Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25(2), 383–417.

    Article  Google Scholar 

  • Graefe, A., & Weinhardt, C. (2008). Long-Term Forecasting with Prediction Markets A Field Experiment on Applicability and Expert Confidence. The Journal of Prediction Markets, 2(2), 71–91.

    Google Scholar 

  • Gruca, T. S., & Berg, J. E. (2007). Public Information Bias and Prediction Market Accuracy. The Journal of Prediction Markets, 1(3), 219–231.

    Google Scholar 

  • Gruca, T. S., Berg, J. E., & Cipriano, M. (2005). Consensus and Differences of Opinion in Electronic Prediction Markets. Electronic Markets, 15(1), 13.

    Article  Google Scholar 

  • Gruca, T. S., Berg, J. E., & Cipriano, M. (2008). Incentive and Accuracy Issues in Movie Prediction Markets. The Journal of Prediction Markets, 2(1), 29–43.

    Google Scholar 

  • Guo, Z., Fang, F., & Whinston, A. B. (2006). Supply chain information sharing in a macro prediction market. Decision Support Systems, 42(3), 1944–1958.

    Article  Google Scholar 

  • Hahn, R. W., & Tetlock, P. C. (2006a). A New Tool for Promoting Economic Development. In R. W. Hahn & P. C. Tetlock, eds. Information Markets: A New Way of Making Decisions (pp. 170–194). Washington D.C:: AEI-Brookings Joint Center for Regulatory Studies.

    Google Scholar 

  • Hahn, R.W. & Tetlock, P.C., 2006b. Information Markets: A New Way of Making Decisions, Washington D.C: AEI-Brookings Joint Center for Regulatory Studies.

  • Hahn, R. W., & Tetlock, P. C. (2006c). Introduction to Information Markets. In Information Markets: A New Way of Making Decisions (pp. 1–12). Washington D.C: AEI-Brookings Joint Center for Regulatory Studies.

    Google Scholar 

  • Hall, C. (2010). Prediction Markets: Issues and Applications. The Journal of Prediction Markets, 4(1), 27–58.

    Google Scholar 

  • Hanson, R., 2006. Foul Play in Information Markets. In Information Markets: A New Way of Making Decisions. Washington D.C: AEI-Brookings Joint Center for Regulatory Studies, pp. 126–141.

  • Hanson, R. (2007a). Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation. The Journal of Prediction Markets, 1(1), 3–15.

    Google Scholar 

  • Hanson, R. (2007b). The Policy Analysis Market (A Thwarted Experiment in the Use of Prediction Markets for Public Policy). Innovations: Technology, Governance, Globalization, 2(3), 73–88.

    Article  Google Scholar 

  • Hanson, R., Oprea, R., & Porter, D. (2006). Information aggregation and manipulation in an experimental market. Journal of Economic Behavior & Organization, 60(4), 449–459.

    Article  Google Scholar 

  • Hayek, F. A. (1945). The Use of Knowledge In Society. American Economic Review, 35(4), 519–530.

    Google Scholar 

  • Ho, T.-H., & Chen, K.-Y. (2007). New Product Blockbusters: The Magic and Science of Prediction Markets. California Management Review, 50(1), 144–158.

    Article  Google Scholar 

  • Hopman, J. (2007). Using Forecasting Markets to Manage Demand Risk. Intel Technology Journal, 11(2), 127–136.

    Google Scholar 

  • Jacobsen, B., et al. (2000). (In)accuracy of a European political stock market: The influence of common value structures. European Economic Review, 44(2), 205–230.

    Article  Google Scholar 

  • Jian, L., & Sami, R. (2012). Aggregation and Manipulation in Prediction Markets: Effects of Trading Mechanism and Information Distribution. Management Science, 58(1), 123–140.

    Article  Google Scholar 

  • Kamp, G., & Koen, P. A. (2009). Improving the Idea Screening Process within Organizations using Prediction Markets: A Theoretical Perspective. The Journal of Prediction Markets, 3(2), 39–64.

    Google Scholar 

  • Kolb, R. (1997). Understanding futures markets (5th ed., ). Malden MA: Blackwell Publishers.

    Google Scholar 

  • LaComb, C.A., Barnett, J.A. & Pan, Q., 2007. The Imagination Market. Information Systems Frontiers, 9(2–3), pp. 245–256.

  • Ledyard, J., 2006. Designing Information Markets for Policy Analysis. In Information Markets: A New Way of Making Decisions. Washington D.C: AEI-Brookings Joint Center for Regulatory Studies, pp. 37–66.

  • Luckner, S., & Weinhardt, C. (2007). How to Pay Traders in Information Markets: Results from a Field Experiment. The Journal of Prediction Markets, 1(2), 147–156.

    Google Scholar 

  • Malkiel, B. G. (2003). The Efficient Market Hypothesis and Its Critics. Journal of Economic Perspectives, 17(1), 59–82.

    Article  Google Scholar 

  • Malkiel, B. G. (2005). Reflections on the Efficient Market Hypothesis: 30 Years Later. The Financial Review, 40(1), 1–9.

    Article  Google Scholar 

  • Oliven, K., & Rietz, T. A. (2004). Suckers Are Born but Markets Are Made: Individual Rationality, Arbitrage, and Market Efficiency on an Electronic Futures Market. Management Science, 50(3), 336–351.

    Article  Google Scholar 

  • Oprea, R., et al. (2008). Can Manipulators Mislead Prediction Market Observers? Economic Science Institute: Chapman University Available at: http://ideas.repec.org/p/chu/wpaper/08-01.html [Accessed March 28, 2013].

    Google Scholar 

  • Ortner, G. (1997). Forecasting Markets - An Industrial Application. Technical University of Vienna.

  • Plott, C. R., & Chen, K.-Y. (2002). Information Aggregation Mechanisms: Concept. Design and Implementation for a Sales Forecasting Problem. Pasadena, CA.

  • Polgreen, P. M., Nelson, F., & Neumann, G. (2006). Using Prediction Markets to Forecast Trends in Infectious Diseases. Microbe, 1(10), 459–465.

    Google Scholar 

  • Rajakovich, D., & Vladimirov, V. (2009). Prediction Markets as a Medical Forecasting Tool: Demand for Hospital Services. The Journal of Prediction Markets, 3(2), 78–106.

    Google Scholar 

  • Remidez, H. & Joslin, C., 2007. Using Prediction Markets to Support IT Project Management - Research in Progress. In International Research Workshop on IT Project Management 2007. Montreal, Quebec, Canada: Association for Information Systems.

  • Rhode, P.W. & Strumpf, K.S., 2008. Historical Political Futures Markets: An International Perspective.

    Book  Google Scholar 

  • Servan-Schreiber, E., et al. (2004). Prediction Markets: Does Money Matter? Electronic Markets, 14(3), 243–251.

    Article  Google Scholar 

  • Slamka, C., Skiera, B., & Spann, M. (2013). Prediction Market Performance and Market Liquidity: A Comparison of Automated Market Makers. IEEE Transactions on Engineering Management, 60(1), 169–185.

    Article  Google Scholar 

  • Spann, M., & Skiera, B. (2003). Internet-Based Virtual Stock Markets for Business Forecasting. Management Science, 49(10), 1310–1326.

    Article  Google Scholar 

  • Sunstein, C. R. (2006). Deliberating Groups vs. Prediction Markets (or Hayek’s Challenge to Habermas). Episteme: A Journal of Social Epistemology, 3(3), 192–213.

    Google Scholar 

  • Tziralis, G., & Tatsiopoulos, I. (2007). Prediction Markets: An Extended Literature Review. The Journal of Prediction Markets, 1(1), 75–91.

    Google Scholar 

  • Van Bruggen, G. H., et al. (2010). Prediction Markets as institutional forecasting support systems. Decision Support Systems, 49(4), 404–416.

    Article  Google Scholar 

  • Waitz, M., & Mild, A. (2009). Improving Forecasting Accuracy in Corporate Prediction Markets A Case Study in the Austrian Mobile Communication Industry. The Journal of Prediction Markets, 3(3), 49–62.

    Google Scholar 

  • Wolfers, J., & Zitzewitz, E. (2004). Prediction markets. The Journal of Economic Perspectives, 18(2), 107–126.

    Article  Google Scholar 

  • Wolfers, J. & Zitzewitz, E., 2006. Five Open Questions About Prediction Markets. In Information Markets: A New Way of Making Decisions. Washington D.C: AEI-Brookings Joint Center for Regulatory Studies, pp. 13–36.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Buckley.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Buckley, P., O’Brien, F. The effect of malicious manipulations on prediction market accuracy. Inf Syst Front 19, 611–623 (2017). https://doi.org/10.1007/s10796-015-9617-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-015-9617-7

Keywords

Navigation