Integrating prediction market and Delphi methodology into a foresight support system — Insights from an online game

Prokesch T, von der Gracht H, Wohlenberg H (2015)


Publication Type: Journal article, Original article

Subtype: other

Publication year: 2015

Journal

Book Volume: 97

Pages Range: 47-64

URI: http://www.sciencedirect.com/science/article/pii/S0040162514000857

DOI: 10.1016/j.techfore.2014.02.021

Abstract

In this paper, we introduce a novel approach, an electronic combination of a prediction market and Delphi methodology, to create a foresight support system (FSS). While the Delphi method has been a widely accepted foresight technique, prediction markets have been a very recent innovation to the existing decision and foresight support systems. Though, traditional prediction markets have been quite successful recently, our extension to the traditional prediction market methodology allows us to extract more valuable market information than any other prediction market since our approach provides not only a market forecast but also delivers an entire forecast distribution. The forecast distribution is generated by the aggregation of another unique characteristic of the suggested market structure namely that financial market professionals have to submit an interval forecast rather than point forecast. Based on our analysis, we demonstrate that our market is weak-form efficient and hence contains all publicly available information. In terms of forecasting accuracy, we conclude that the precision of our market improved over time and overall outperformed its benchmark.

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How to cite

APA:

Prokesch, T., von der Gracht, H., & Wohlenberg, H. (2015). Integrating prediction market and Delphi methodology into a foresight support system — Insights from an online game. Technological Forecasting and Social Change, 97, 47-64. https://dx.doi.org/10.1016/j.techfore.2014.02.021

MLA:

Prokesch, Tobias, Heiko von der Gracht, and Holger Wohlenberg. "Integrating prediction market and Delphi methodology into a foresight support system — Insights from an online game." Technological Forecasting and Social Change 97 (2015): 47-64.

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