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dc.contributor.advisorAbbott Weiss.en_US
dc.contributor.authorSchrieber, Jared M. (Jared Martin), 1976-en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2005-09-26T20:57:46Z
dc.date.available2005-09-26T20:57:46Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/28514
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 47-48).en_US
dc.description.abstractAccording 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.en_US
dc.description.statementofresponsibilityby Jared M. Schrieber.en_US
dc.format.extent48 p.en_US
dc.format.extent3351314 bytes
dc.format.extent3354881 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectEngineering Systems Division.en_US
dc.titleThe application of prediction markets to businessen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc57345537en_US


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