Abstract

Much evidence has shown that prediction markets can effectively aggregate dispersed information about uncertain future events and produce remarkably accurate forecasts. However, if the market prediction will be used for decision making, a strategic participant with a vested interest in the decision outcome may manipulate the market prediction to influence the resulting decision. The presence of such incentives outside of the market would seem to damage the market's ability to aggregate information because of the potential distrust among market participants. While this is true under some conditions, we show that, if the existence of such incentives is certain and common knowledge, in many cases, there exist separating equilibria where each participant changes the market probability to different values given different private signals and information is fully aggregated in the market. At each separating equilibrium, the participant with outside incentives makes a costly move to gain trust from other participants. While there also exist pooling equilibria where a participant changes the market probability to the same value given different private signals and information loss occurs, we give evidence suggesting that two separating equilibria are more natural and desirable than many other equilibria of this game by considering domination-based belief refinement, social welfare, and the expected payoff of either participant in the game. When the existence of outside incentives is uncertain, however, trust cannot be established between players if the outside incentive is sufficiently large and we lose the separability at equilibria.

Highlights

  • Prediction markets are powerful tools created to aggregate information from individuals about uncertain events of interest

  • A prediction market allows traders to express their private information through trading shares of contracts and rewards their contributions based on the realized outcome

  • If the forecast of a prediction market is used to make a decision, some market participants may stand to benefit if a particular decision outcome is reached

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Summary

Introduction

Prediction markets are powerful tools created to aggregate information from individuals about uncertain events of interest. When Alice does not have an outside payoff, since she only participates once, her optimal strategy facing the market scoring rule is to report fsA,0 with probability 1 after receiving the sA signal. We characterize a necessary and sufficient condition under which there exists a separating equilibrium that achieves full information aggregation and maximizes social welfare with a convex Q(·) At this separating equilibrium, Alice makes a costly statement, in the form of a loss in the market scoring rule payoff, in order to convince Bob that she is revealing her signals, despite the incentive to manipulate. Alice reports rA with positive probability after receiving the sA signal, her expected loss in market scoring rule payoff is. There exists an outside payoff function Q(·) such that Alice’s truthful strategy (2) is not part of any PBE

A Condition for Separation
Conclusion and Future Direction
Full Text
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