Microstructure Dynamics and Agent-Based Financial Markets
One of the essential features of the agent-based financial models is to show how price dynamics is affected by the evolving microstructure. Empirical work on this microstructure dynamics is, however, built upon highly simplified and unrealistic behavioral models of financial agents. Using genetic programming as a rule-inference engine and self-organizing maps as a clustering machine, we are able to reconstruct the possible underlying microstructure dynamics corresponding to the underlying asset. In light of the agent-based financial models, we further examine the microstructure both in terms of its short-term dynamics and long-term distribution. The time series of the TAIEX is employed as an illustration of the implementation of the idea.
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- 3.Backus, J.: The syntax and semantics of the proposed international algebraic language of Zurich. In: ICIP, Paris (1959)Google Scholar
- 5.Chen, S.-H., Chang, C.-L., Du, Y.-R.: Agent-based economic models and econometrics. Knowledge Engineering Review (forthcoming)Google Scholar
- 8.Dittenbach, M., Rauber, A., Merkl, D.: Recent advances with the growing hierarchical self-organizing map. In: Allinson, N., Yin, H., Allinson, L., Slack, J. (eds.) Advances in Self-Organizing Maps: Proceedings of the 3rd Workshop on Self-Organizing Maps. Springer, Heidelberg (2001)Google Scholar
- 11.Gigerenzer, G., Todd, P.: Fast and Frugal Heuristics: The Adaptive Toolbox. In: Gigerenzer, G., Todd, P., the ABC Research Group (eds.) Simple Heuristics That Make Us Smart, pp. 3–34. Oxford University Press, New York (1999)Google Scholar
- 13.Kampouridis, M., Chen, S.-H., Tsang, E.: Market fraction hypothesis: A proposed test. Working Paper, School of Computer Science and Electronic Engineering, University of Essex (2010)Google Scholar
- 17.Li, J.: FGP: A genetic programming based financial forecasting tool. PhD thesis, Department of Computer Science, University of Essex (2001)Google Scholar
- 18.Lo, A.: Reconciling efficient markets with behavioral finance: The adaptive market hypothesis. Journal of Investment Consulting 7(2), 21–44 (2005)Google Scholar
- 20.Provost, F., Kohavi, R.: Glossary of terms. Journal of Machine Learning 30(2-3), 271–274 (1998)Google Scholar