Prediction markets have been applied for various forecasting issues, such as political events or sports. The ability of these markets to collect distributed information in a fast and efficient way provides useful support for corporate planning. A crucial criterion for the quality of the information aggregation process is the liquidity of the market, especially in corporate prediction markets, which typically consist of fewer traders than public markets. The use of automated market makers is one option with which to ensure enough liquidity, but it is always related to some drawbacks. This paper investigates a field study of a corporate prediction market that replaces the automated market maker with human traders. We analyze the efficiency of such markets, the impact of the applied incentive system and the effects of human market makers.
|Pages (from-to)||193 - 212|
|Journal||Journal of Business Economics (JBE) (früher: Zeitschrift für Betriebswirtschaft ZfB)|
|Publication status||Published - 1 Apr 2013|
Austrian Classification of Fields of Science and Technology (ÖFOS)
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