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Artificial Markets under a Complexity Perspective

Listed author(s):
  • Alejandro Reveiz Herault


The focus of this study is to build, from the `bottom-up´, a market with artificiallyintelligent adaptive agents based on the institutional arrangement of the ColombianForeign Exchange Market (1994-1999) in order to determine simple agents´ design,rules and interactions that are sufficient to create interesting behaviours at themacroscopic level - emerging patterns that replicate the properties of the time seriesfrom the case study.Tools from artificial intelligence research, such as genetic algorithms and fuzzy logic,are the basis of the agents´ mental models, which in turn are used for forecasting,quoting and learning purposes in a double auction market. Sets of fuzzy logic rules yieldadequate, approximately continuous risk and utility preferences without the need to fixtheir mathematical form ex-ante.Statistical properties of financial time series are generated by the artificial market, aswell as some additional non-linearity linked to the existence of a crawling band.Moreover, the behaviour of the simulated exchange rate is consistent with currencyband theory.Agent´s learning favours forecasting rules based on regulatory signals against rulesbased on fundamental information. Also, intra-day volatility is strongly linked to therate of arrival and size of real sector trades. Intra-day volatility is also a function of thefrequency of learning and search specialisation. It is found that when a moderately lowfrequency of learning is used, volatility increases.

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Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 004616.

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Length: 40
Date of creation: 17 Apr 2008
Handle: RePEc:col:000094:004616
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  1. Steven N. Durlauf, 1997. "What Should Policymakers Know About Economic Complexity?," Working Papers 97-10-080, Santa Fe Institute.
  2. Williams, Arlington W & Smith, Vernon L, 1984. "Cyclical Double-Auction Markets with and without Speculators," The Journal of Business, University of Chicago Press, vol. 57(1), pages 1-33, January.
  3. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, May.
  4. Miller, Ross M., 1996. "Smart market mechanisms: From practice to theory," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 967-978.
  5. Brooks, Chris & Reveiz, Alejandro H., 2002. "A model for exchange rates with crawling bands--an application to the Colombian peso," Journal of Economics and Business, Elsevier, vol. 54(5), pages 483-503.
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