EconPapers    
Economics at your fingertips  
 

MANAGING RISK USING PREDICTION MARKETS

Gautam Kumar Varma

Journal of Prediction Markets, 2013, vol. 7, issue 3, 45-60

Abstract: Prediction markets have emerged fairly recently as a promising forecasting mechanism to handle efficiently the dynamic aggregation of dispersed information among various agents. The interest that this mechanism attracts seems to be increasing at a steady rate, in terms of both business interest and academic work. Applications of predictive markets span the areas of political predictions, sports prediction, Governance to name a few. This paper makes a bold attempt to explore the use of predictive markets for effective risk management process in projects to derive certainty in projects. The key components of prediction markets i.e. the specification of contracts traded in a prediction market, the trading mechanism and finally the incentives provided to ensure information revelation will then be presented. Innovative concept of fusing Predictive Markets for Risk Management will then be outlined. How the probability of Risk Occurrence can be predicted with a greater degree of certainty using the predictive markets and aggregation of wisdom of project stakeholders will be described. Further areas to be explored such as a framework for deployment of Predictive markets in a project context, guidelines for use are then presented. We close with conclusions and area for further investigation. Case Studies complement the paper and the model proposed.

Keywords: Risk Management; Prediction Markets; Contract; Trading; Incentives; Forecasting; Model (search for similar items in EconPapers)
JEL-codes: L83 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://ubplj.org/index.php/jpm/article/view/804 (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:7:y:2014:i:3:p:45-60

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 ().

 
Page updated 2025-03-19
Handle: RePEc:buc:jpredm:v:7:y:2014:i:3:p:45-60