Traditional economic models are better suited to measuring and/or explaining outcomes rather than modelling dynamic trajectories. These dynamic trajectories are important for the development and testing of intervention strategies. My research in this area explores the use of multi-agent systems to model and simulate the dynamics of financial markets.
Peer-Reviewed Conference Proceedings
S. Chen, B. Spotton Visano, M. Lui. (2010) "Quantitative Results for a Qualitative Investor Model – A Hybrid Multi-Agent Model with Social Investors." In World Congress on Engineering 2010 Proceedings, pp 390-394. IAENG.
S. Chen, J. Tien, B. Spotton Visano. (2008) "A Hybrid Multi-Agent Model for Financial Markets." In Lecture Notes in Computer Science, Vol. 5027 : Proceedings of the 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pgs 531-540. Springer..
S. Chen, B. Spotton Visano, and Y. Kong. (2006) "Introducing Social Investors into Multi-Agent Models of Finanical Markets." In Lecture Notes in Computer Science, Vol. 4031: Proceedings of the 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, pgs 44-53. Springer. (presentation slides)