Why prediction markets work: The role of information acquisition and endogenous weighting
Christoph Siemroth
No 14-02, Working Papers from University of Mannheim, Department of Economics
Abstract:
In prediction markets, investors trade assets whose values are contingent on the occurrence of future events, like election outcomes. Prediction market prices have been shown to be consistently accurate forecasts of these outcomes, but we don't know why. I formally illustrate an information acquisition explanation. Traders with more wealth to invest have stronger incentives to acquire information about the outcome, thus tend to have better forecasts. Moreover, their trades have larger weight in the market. The interaction implies that a few well-endowed traders can move the asset price toward the true value. One implication for institutions aggregating information is to put more weight on votes of agents with larger stakes, which improves on equal weighting, unless prior distribution accuracy and stakes are negatively related.
Keywords: Information Acquisition; Information Aggregation; Forecasting; Futures Markets; Prediction Markets (search for similar items in EconPapers)
JEL-codes: D83 D84 G10 (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-cta, nep-for and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://madoc.bib.uni-mannheim.de/35257/1/Christoph_Siemroth_14-02.pdf
Related works:
Working Paper: Why prediction markets work: the role of information acquisition and endogenous weighting (2014) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mnh:wpaper:35257
Access Statistics for this paper
More papers in Working Papers from University of Mannheim, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Katharina Rautenberg ().