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Assessing the performance of different prediction market formats in forecasting tasks
Dissertation (MBA)--University of Pretoria, 2012.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613462526427136 |
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| access_status_str | Open Access |
| author2 | Sing, Linda |
| author_browse | Sing, Linda |
| author_facet | Sing, Linda |
| collection | Thesis |
| dc_rights_str_mv | © 2011, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria |
| description | Dissertation (MBA)--University of Pretoria, 2012. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/25417 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:36:32.122Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/25417 Assessing the performance of different prediction market formats in forecasting tasks Sing, Linda ichelp@gibs.co.za Awbrey, John-William UCTD Delphi Prediction markets Convergence Dissertation (MBA)--University of Pretoria, 2012. Prediction markets have recently gained favour with the academic and business communities. Prediction markets have evolved a long way from their basic beginnings as friendly wagers among friends to become large scale markets connecting traders from around the world. They have been adopted into many large and dynamic corporations that require up to the minute information that can keep up with their business. Organisations like Google, HP, Yahoo! and Best Buy have been experimenting with prediction markets for demand forecasting tasks. Governments have also been using markets, although not always as successfully. The U.S. government looked at PAM which became the terrorist futures market in the post 9/11 world. This did not appeal to the American populous and it has since been withdrawn. Through technological advancements the capabilities and availability of prediction markets has grown. With this the interest in how they work and what can be done to improve the accuracy of the markets. This research looked at the inclusion of a deliberative technique to the markets to improve that accuracy of the market. For this research, markets that made use of discussion boards were used. They were compared against traditional markets, which had no means of communication between traders.The research took the form of a quantitative comparison between the two market types. Data was acquired from the Iowa Electronics Market (IEM) and Inkling Public Markets. The findings from this research indicate that there was a significant difference with α=0.012 for the markets at close. This indicated that there was a significant between the traditional (control) and non-traditional (experimental groups) markets from descriptive statistics it was indicated that the traditional markets performed better in the prediction tasks. The conclusions of this research indicate that allowing traders to communicate and see the actions of others creates group biases which impacts on their independence when making trades and thus on the performance of the market.Copyright Gordon Institute of Business Science (GIBS) unrestricted 2013-09-06T21:14:17Z 2012-07-11 2013-09-06T21:14:17Z 2012-03-08 2012-07-11 2012-06-10 Dissertation Awbrey, JW 2011, Educational value of group learning activities in MBA education: student perceptions and instructor intentions, MBA dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/ etd-06102012-112421/ > F12/4/630/zw http://hdl.handle.net/2263/25417 http://upetd.up.ac.za/thesis/available/etd-06102012-112421/ © 2011, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria application/pdf University of Pretoria |
| spellingShingle | UCTD Delphi Prediction markets Convergence Assessing the performance of different prediction market formats in forecasting tasks |
| title | Assessing the performance of different prediction market formats in forecasting tasks |
| title_full | Assessing the performance of different prediction market formats in forecasting tasks |
| title_fullStr | Assessing the performance of different prediction market formats in forecasting tasks |
| title_full_unstemmed | Assessing the performance of different prediction market formats in forecasting tasks |
| title_short | Assessing the performance of different prediction market formats in forecasting tasks |
| title_sort | assessing the performance of different prediction market formats in forecasting tasks |
| topic | UCTD Delphi Prediction markets Convergence |
| url | http://hdl.handle.net/2263/25417 http://upetd.up.ac.za/thesis/available/etd-06102012-112421/ |