Predicting Uncertain Outcomes Using Information Markets
Publication Type
Journal Article
Publication Date
2006
Abstract
Forecasting seems to be a ubiquitous endeavor in human societies. In this paper, information markets are introduced as a promising mechanism for predicting uncertain outcomes. Information markets are markets that are specially designed for aggregating information and making predictions on future events. A generic model of information markets is proposed. We derive some fundamental properties on when information markets can converge to the direct communications equilibrium, which aggregates all information across traders and is the best possible prediction for the event under consideration. Information markets, if properly designed, have substantial potential to facilitate organizations in making better informed decisions.
Keywords
Information market, prediction, trader behavior, information aggregation
Discipline
Computer Sciences | Management Information Systems
Research Areas
Information Systems and Management
Publication
New Mathematics and Natural Computation
Volume
2
Issue
3
First Page
281
Last Page
297
ISSN
1793-0057
Identifier
10.1142/S179300570600052X
Publisher
World Scientific Publishing
Citation
CHEN, Yiling; CHU, Chao-Hsien; and Mullen, Tracy.
Predicting Uncertain Outcomes Using Information Markets. (2006). New Mathematics and Natural Computation. 2, (3), 281-297.
Available at: https://ink.library.smu.edu.sg/sis_research/1789
Additional URL
http://dx.doi.org/10.1142/S179300570600052X