EconPapers    
Economics at your fingertips  
 

Information Visualization Of An Agent-Based Financial System Model

Wei Jiang () and Richard Webber & Ric D Herbert
Additional contact information
Wei Jiang: Faculty of Science and I.T. University of Newcastle, Australia

No 468, Computing in Economics and Finance 2005 from Society for Computational Economics

Abstract: This paper considers the application of information visualization techniques to an agent-based model of a financial system. The minority game is a simple agent-based model which can be used to simulate the events in a real-world financial market. To aid understanding of this model, we can apply information visualization techniques. Treemap and sunburst are two such information visualization techniques, which previous research tells us can effectively represent information similar to that generated by the minority game. Another information visualization technique, called logical fisheye-lens, can be used to augment treemap and sunburst, allowing users to magnify areas of interest in these visualizations. In this paper, treemap and sunburst, both with and without fisheye-lens, are applied to the minority game, and their effectiveness is evaluated. This evaluation is carried out through an analysis of users performing various tasks on (simulated) financial market data using the visualization techniques. A subjective questionnaire is also used to measure the users’ impressions of the visualization techniques.

Keywords: Dynamic Models; Minority Game; Visualization (search for similar items in EconPapers)
JEL-codes: C63 C73 (search for similar items in EconPapers)
Date: 2005-11-11
New Economics Papers: this item is included in nep-cmp and nep-ict
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.org/sce2005/up.18758.1108362886.pdf (application/pdf)

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:sce:scecf5:468

Access Statistics for this paper

More papers in Computing in Economics and Finance 2005 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-20
Handle: RePEc:sce:scecf5:468