2026-09-19T21:52:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/285142026-06-06T01:03:38Zcom_1721.1_7582com_1721.1_7581com_1721.1_101402col_1721.1_131023col_1721.1_101610
Abbott Weiss.
Schrieber, Jared M. (Jared Martin), 1976-
Massachusetts Institute of Technology. Engineering Systems Division.
Massachusetts Institute of Technology. Engineering Systems Division
2005-09-26T20:57:46Z
2005-09-26T20:57:46Z
2004
2004
http://hdl.handle.net/1721.1/28514
57345537
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2004.
Includes bibliographical references (p. 47-48).
According to financial theory, open markets efficiently and effectively aggregate all available information about future events into their prices. Recent empirical evidence has shown that speculative markets, from gambling to web-games, are better at predicting the future than more commonly used statistical or survey-based forecasting methods. As a result, a number of companies have conducted experiments to evaluate the use of prediction markets as an alternative forecasting methodology. This paper offers a comprehensive framework for determining when and how prediction markets should be employed in a business context.
by Jared M. Schrieber.
M.Eng. in Logistics
48 p.
3351314 bytes
3354881 bytes
application/pdf
application/pdf
en_US
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
The application of prediction markets to business
Thesis
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