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Outcome Manipulation in Corporate Prediction Markets


  • Marco Ottaviani
  • Peter Norman Sørensen


This paper presents a framework for applying prediction markets to corporate decision-making. The analysis is motivated by the recent surge of interest in markets as information aggregation devices and their potential use within firms. We characterize the amount of outcome manipulation that results in equilibrium and the impact of this manipulation on market prices. (JEL: D71, D82, D83, D84) (c) 2007 by the European Economic Association.

Suggested Citation

  • Marco Ottaviani & Peter Norman Sørensen, 2007. "Outcome Manipulation in Corporate Prediction Markets," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 554-563, 04-05.
  • Handle: RePEc:tpr:jeurec:v:5:y:2007:i:2-3:p:554-563

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    References listed on IDEAS

    1. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
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    10. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2006. "Understanding the Link between Money Growth and Inflation in the Euro Area," CEPR Discussion Papers 5683, C.E.P.R. Discussion Papers.
    11. Michael D. Bordo & Andrew Filardo, 2007. "Money Still Makes the World Go Round: The Zonal View," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 509-523, 04-05.
    12. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    13. Terry J. Fitzgerald, 1999. "Money growth and inflation: how long is the long run?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Aug.
    14. Stefan Gerlach, 2004. "The two pillars of the European Central Bank," Economic Policy, CEPR;CES;MSH, vol. 19(40), pages 389-439, October.
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    16. repec:cup:etheor:v:11:y:1995:i:3:p:530-36 is not listed on IDEAS
    17. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
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    Cited by:

    1. 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.
    2. Armantier, Olivier & Treich, Nicolas, 2013. "Eliciting beliefs: Proper scoring rules, incentives, stakes and hedging," European Economic Review, Elsevier, vol. 62(C), pages 17-40.
    3. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
    4. Boleslavsky, Raphael & Kelly, David L. & Taylor, Curtis R., 2017. "Selloffs, bailouts, and feedback: Can asset markets inform policy?," Journal of Economic Theory, Elsevier, vol. 169(C), pages 294-343.
    5. Veiga, Helena & Vorsatz, Marc, 2009. "Price manipulation in an experimental asset market," European Economic Review, Elsevier, vol. 53(3), pages 327-342, April.
    6. 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.
    7. repec:oup:restud:v:82:y:2015:i:4:p:1309-1341. is not listed on IDEAS
    8. Urmee Khan, 2016. "State-dependent Preferences in Prediction Markets and Prices as Aggregate Statistic," Working Papers 201609, University of California at Riverside, Department of Economics.
    9. Veiga, Helena & Vorsatz, Marc, 2008. "Aggregation and dissemination of information in experimental asset markets in the presence of a manipulator," DES - Working Papers. Statistics and Econometrics. WS ws084110, Universidad Carlos III de Madrid. Departamento de Estadística.

    More about this item

    JEL classification:

    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations


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