PREDICTION MARKETS AND CONTRACT DESIGN
Ole Jakob Bergfjord
Journal of Prediction Markets, 2011, vol. 5, issue 2, 1-13
Abstract:
Traditionally, the main function of prediction markets (PMs) has been to provide information about probabilities for various events. Good information requires a well-functioning market, which in turn depends on sufficient liquidity and a sufficient number of market participants. While many of the early PMs have been of a more experimental nature, with students or other test groups as market participants, a natural assumption is that future PMs must be able to attract market participants to be successful. We assume that four main groups of stakeholders face potential gains from a well-functioning PM contract: The exchange launching the contract; hedgers; gamblers; and users of the market information, whether this is a corporation or society as a whole. In this paper, we analyze different design characteristics of PM contracts, mainly in light of previous studies of futures markets. A relatively extensive literature exists on the design of futures contracts, and a number of criteria have been established to predict whether a contract is likely to be successful. We use this to provide some recommendations for contract design, in order to develop contracts that maximize the gain for the four groups of stakeholders.
JEL-codes: L83 (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://ubplj.org/index.php/jpm/article/view/486 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:buc:jpredm:v:5:y:2011:i:2:p:1-13
Ordering information: This journal article can be ordered from
http://www.predictio ... ex_files/Page418.htm
Access Statistics for this article
Journal of Prediction Markets is currently edited by Leighton Vaughan Williams, Nottingham Business School
More articles in Journal of Prediction Markets from University of Buckingham Press
Bibliographic data for series maintained by Dominic Cortis, University of Malta ().