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A strategic model for information markets
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Electronic Commerce archive
Proceedings of the 8th ACM conference on Electronic commerce table of contents
San Diego, California, USA
SESSION: Not for sale table of contents
Pages: 316 - 325  
Year of Publication: 2007
ISBN:978-1-59593-653-0
Authors
Evdokia Nikolova  MIT CSAIL, Cambridge, MA
Rahul Sami  University of Michigan, Ann Arbor, MI
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

Information markets, which are designed specifically to aggregate traders' information, are becoming increasingly popular as a means for predicting future events. Recent research in information markets has resulted in two new designs, market scoring rules and dynamic parimutuel markets. We develop an analytic method to guide the design and strategic analysis of information markets. Our central contribution is a new abstract betting game, the projection game, that serves as a useful model for information markets. We demonstrate that this game can serve as a strategic model of dynamic parimutuel markets, and also captures the essence of the strategies in market scoring rules. The projection game is tractable to analyze, and has an attractive geometric visualization that makes the strategic moves and interactions more transparent. We use it to prove several strategic properties about the dynamic parimutuel market. We also prove that a special form of the projection game is strategically equivalent to the spherical scoring rule, and it is strategically similar to other scoring rules. Finally, we illustrate two applications of the model to analysis of complex strategic scenarios: we analyze the precision of a market in which traders have inertia, and a market in which a trader can profit by manipulating another trader's beliefs.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Evdokia Nikolova: colleagues
Rahul Sami: colleagues