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Prediction markets: An information aggregation perspective to the forecasting problem

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dc.contributor.author Tziralis, G en
dc.contributor.author Tatsiopoulos, I en
dc.date.accessioned 2014-03-01T01:26:56Z
dc.date.available 2014-03-01T01:26:56Z
dc.date.issued 2007 en
dc.identifier.issn 17460573 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18287
dc.subject Forecasting en
dc.subject Information aggregation en
dc.subject Prediction markets en
dc.title Prediction markets: An information aggregation perspective to the forecasting problem en
heal.type journalArticle en
heal.identifier.primary 10.1504/WREMSD.2007.014044 en
heal.identifier.secondary http://dx.doi.org/10.1504/WREMSD.2007.014044 en
heal.publicationDate 2007 en
heal.abstract Lately, traditional forecasting methods have been depicted as inferior to newer ones which are attempting to simulate the human decision making process. However, this goal might even be impossible to achieve. This paper introduces an inverse approach to the forecasting problem. The typical process of attempting to subtractively model the expert's knowledge and cognitive function and then perform the forecast is replaced by the dynamic extraction of pure experts' forecasts and the subsequent summing up of the information. The design and benefits of a business game that serves as an information aggregation tool producing valuable predictors is hereby supported. Copyright © 2007 Inderscience Enterprises Ltd. en
heal.journalName World Review of Entrepreneurship, Management and Sustainable Development en
dc.identifier.doi 10.1504/WREMSD.2007.014044 en
dc.identifier.volume 3 en
dc.identifier.issue 3-4 en
dc.identifier.spage 251 en
dc.identifier.epage 259 en


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