Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/61276
DC FieldValueLanguage
dc.contributor政大國發所en_US
dc.creatorTung,Chen-yuan ;Chou,Tzu-Chuan;Lin,Jih-wen; Lin,Hsin-yien_US
dc.date2011-12en_US
dc.date.accessioned2013-10-08T06:45:19Z-
dc.date.available2013-10-08T06:45:19Z-
dc.date.issued2013-10-08T06:45:19Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/61276-
dc.description.abstractThis paper devises a methodology to compare the accuracy of prediction markets and polls. The data of the Exchange of Future Events (xFuture) for Taiwan`s 2006 mayoral elections and 2008 presidential election show that the prediction markets outperform the opinion polls in various indices of accuracy. In terms of the last forecast before the election date, the accuracy of the prediction markets is 3 to 10 percent higher than that of the opinion polls. When comparing the accuracy of historical forecasts, the prediction markets outperform the polls in 93 to 100 percent of the cases. Moreover, the average accuracy of the prediction markets is 9 to 10 percent higher than that of the polls, with a standard deviation more than 2 percent less than that of the polls. To examine the robustness of these comparisons, this paper conducts two tests including daily forecast and normalized accuracy, and finds that the prediction markets successfully pass the tests with a significantly better accuracy than the polls.en_US
dc.format.extent317494 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.relationJournal of Prediction Markets, 5(3), 1-26en_US
dc.subjectprediction markets;opinion polls;forecast accuracy;2006 Taipei mayoral election;2006 Kaohsiung mayoral election;2008 Taiwan presidential electionen_US
dc.titleComparing the Forecasting Accuracy of Prediction Markets and Polls for Taiwan`s Presidential and Mayoral Electionsen_US
dc.typearticleen
item.fulltextWith Fulltext-
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.openairetypearticle-
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