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Political Prediction Markets : Can we use them to predict election outcomes ?
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wijesinghe, Sanith Rodrigues, Joanne |
| Copyright Year | 2012 |
| Abstract | Political prediction markets such as INTRADE, in which people trade stocks based on their belief about the outcome of the election or political event, offer a unique opportunity to use market behavior to predict the outcome of political events. This paper provides a two-fold contribution to the literature. First, we analyze 457 political prediction markets contracts in terms of the accuracy of their predictions at various time intervals and high-level categorizations. Second, we attempt to forecast the outcome of political prediction markets using a standard feedforward/backpropagation neural network trained on the time history of contract prices. We find that we can out perform the market predictions by between 1% 4% percent during times earlier than half-way to contract expiry. This suggests the market is not the most efficient aggregation of the likelihood of a future political event at these short times. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://madeinhaus.s3.amazonaws.com/sfi-com/staging/uploads/ckeditor/2016/11/02/poliiticalpredmarket-v13_2.pdf |
| Alternate Webpage(s) | http://www.santafe.edu/media/cms_page_media/420/PoliiticalPredMarket-v1.3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |