Fuzzy relations for the analysis of traders' preferences in an information market game
Document Type
Article
Publication Date
6-16-2009
Abstract
In this paper we focus on preference and decision data gathered during a computer-supported information market game in which 35 students participated during seven consecutive trading sessions. The participants' individual preferences on the market shares are collected to calculate a collective preference ranking using the Borda social choice method. Comparing this preference ranking to the shares' actual market ranking resulting from the participants' trading, we find a statistically significant difference between both rankings. As the preferences established by market behavior cannot be adequately explained through a social choice rule, we propose an alternative explanation based on the herd behavior phenomenon where traders imitate the most successful trader in the market. Using a decision analysis technique based on fuzzy relations, we study the participants' rankings of the best share in the market during 7 weeks and compare the most successful trader to the other traders. The results from our analysis show that a substantial number of traders is indeed following the market leader. © 2007 Elsevier B.V. All rights reserved.
Identifier
56349120761 (Scopus)
Publication Title
European Journal of Operational Research
External Full Text Location
https://doi.org/10.1016/j.ejor.2007.11.022
ISSN
03772217
First Page
905
Last Page
913
Issue
3
Volume
195
Fund Ref
European Commission
Recommended Citation
Van de Walle, Bartel and Turoff, Murray, "Fuzzy relations for the analysis of traders' preferences in an information market game" (2009). Faculty Publications. 12054.
https://digitalcommons.njit.edu/fac_pubs/12054
