Event Studies in Real- and Play-Money Prediction Markets

Christian Slamka, Arina Soukhoroukova and Martin Spann

Journal of Prediction Markets, 2008, vol. 2, issue 2, 53-70

Abstract: Event study methodology is a powerful procedure to quantify the impact of events and managerial decisions such as new product announcements on the value of a publicly traded company. However, for many events, appropriate financial data may not be available, either because suitable securities are not traded on financial markets or confounding effects limit the insights from financial data. In such instances, prediction markets could potentially provide the necessary data for an event study. Prediction markets are electronic markets where participants can trade stocks whose prices reflect the outcome of future events, e.g. election outcomes, sports results, new product sales or internal project deadlines. One key distinction between different prediction market applications is whether they require real money investments or play-money investment with non-monetary incentives for traders. Thus, the goal of this paper is to compare prediction markets' ability to conduct event studies with respect to these two different incentive schemes. We empirically test the applicability of event study methodology in real-money vs. play-money prediction markets with two data sets. We show that event studies with prediction markets deliver robust and valid results with both incentive schemes.

Keywords: PREDICTION MARKETS; EVENT EVALUATION; DECISION MAKING; EVENT STUDIES; PLAY MONEY VS. REAL MONEY (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.ingentaconnect.com/content/ubpl/jpm/2008/00000002/00000002/art00004 (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:2:y:2008:i:2:p:53-70

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 ().