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On the Design of Artificial Stock Markets

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Author Info
Boer-Sorban, K.
Bruin, A. de
Kaymak, U. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

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Abstract

Artificial stock markets are designed with the aim to study and understand market dynamics by representing (part of) real stock markets. Since there is a large variety of real stock markets with several partially observable elements and hidden processes, artificial markets differ regarding their structure and implementation. In this paper we analyze to what degree current artificial stock markets reflect the workings of real stock markets. In order to conduct this analysis we set up a list of factors which influence market dynamics and are as a consequence important to consider for designing market models. We differentiate two categories of factors: general, well-defined aspects that characterize the organization of a market and hidden aspects that characterize the functioning of the markets and the behaviour of the traders.

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Publisher Info
Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2005-001-LIS Revision_Date: 2009-07-29.

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Date of creation: 18 Feb 2005
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Handle: RePEc:dgr:eureri:30002042

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Related research
Keywords: market microstructure; financial markets; agent-based computational economics; artificial stock markets; uncertainty modeling;

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August. [Downloadable!] (restricted)
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  2. Cars H. Hommes, 2001. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," Tinbergen Institute Discussion Papers 01-014/1, Tinbergen Institute. [Downloadable!]
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  3. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August. [Downloadable!] (restricted)
  4. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June. [Downloadable!] (restricted)
  5. Marcus G. Daniels & J. Doyne Farmer & Laszlo Gillemot & Giulia Iori & Eric Smith, 2001. "A quantitative model of trading and price formation in financial markets," Quantitative Finance Papers cond-mat/0112422, arXiv.org, revised Dec 2002. [Downloadable!]
  6. Marianne Demarchi & Thierry Foucault, 2000. "Equity Trading Systems in Europe: A Survey of Recent Changes," Annales d'Economie et de Statistique, ADRES, issue 60, pages 05, Octobre-D. [Downloadable!]
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  7. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March. [Downloadable!] (restricted)
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  8. Chen, Shu-Heng & Lux, Thomas & Marchesi, Michele, 2001. "Testing for non-linear structure in an artificial financial market," Journal of Economic Behavior & Organization, Elsevier, vol. 46(3), pages 327-342, November. [Downloadable!] (restricted)
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  1. Boer-Sorban, K. & Kaymak, U. & Bruin, A. de, 2005. "A Modular Agent-Based Environment for Studying Stock Markets," Research Paper ERS-2005-017-LIS Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  2. Boer-Sorban, K. & Kaymak, U. & Spiering, J., 2006. "From Discrete-Time Models to Continuous-Time, Asynchronous Models of Financial Markets," Research Paper ERS-2006-009-LIS Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
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