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Computación y Sistemas

Print version ISSN 1405-5546

Comp. y Sist. vol.6 n.4 México Apr./Jun. 2003

 

Artículos

 

Análisis de Mercados Financieros utilizando Técnicas de Inteligencia Artificial

 

Analysis of Financial Markets using Artificial Intelligence Techniques

 

José Luis Gordillo1 y Christopher R. Stephens2

 

1 Dirección General de Servicios de Cómputo Académico, UNAM
Circuito Exterior s/n, Ciudad Universitaria CP 04510
2 Instituto de Ciencias Nucleares, UNAM
Circuito Exterior s/n, Ciudad Universitaria
Apartado postal 70–543, CP 04510
México, DF, México

 

E–mail: jlgr@super.unam.mx, stephens@nuclecu.unam.mx

 

Artículo recibido en Junio 03, 2002; aceptado en Abril 15, 2003

 

Resumen

Las técnicas actuales de Inteligencia Artificial (IA), en particular los algoritmos evolutivos y los agentes inteligentes, permiten modelar sistemas de muy diversos tipos, entre ellos mercados financieros. Un modelo computacional de un mercado financiero utiliza varios elementos de AI, tales como la computaci6n evolutiva y agentes artificiales. El resultado –un mercado financiero artificial (MFA)– sirve como un laboratorio útil para el estudio de los mercados reales. En este trabajo presentamos un nuevo MFA, construido con el objetivo de incluir elementos que han sido descartados en otros modelos, tales como diferentes modelos de organización del mercado y la presencia de participantes especiales, tales como los market makers, que son agentes especiales encargados de proveer liquidez al mercado. Los resultados presentados en este trabajo incluyen el efecto de diferentes modelos de organización, de diferentes usos de información, la eficiencia de diferentes métodos de adaptación y de la presencia de market makers. En este último caso, cabe enfatizar el hecho de tener un MFA cuya evolución es completamente autónoma.

Palabras clave: Inteligencia Artificial, Agentes, Mercados Financieros, Algoritmos Evolutivos, Market Markers.

 

Abstract

Present day techniques from artificial intelligence (AI), in particular evolutionary algorithms and intelligent agents, can be used to model many different types of system, including financial markets. A computational model of a financial market uses various AI elements, such as evolutionary computation and artificial agents. The result –an artificial financial market (AFM)– can serve as a useful "laboratory" for studying the behavior of real financial markets. In the present work we present a new AFM, designed with the objective of including elements that have been relatively neglected in other models, such as different organizational models for the market and the presence of priviliges participants such as market makers who have the task of providing market liquidity. The results we present in this article include: the effect of different organizational models, of different exploitation of information, the efficiency of different types of adaptation and the presence of market makers. In this latter case we emphasize that the resulting market has a completely autonomous evolution.

Keywords: Artificial Intelligence, Agents, Financial Markets, Evolutionary Algorithms, Market Markers.

 

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Agradecimientos

Los autores agradecen el soporte de DGAPA, UNAM, proyecto IN100201; de igual manera agradecen el apoyo brindado por el Departamento de Supercómputo de la UNAM.

 

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Páginas Electrónicas

Laboratory for Financial Engineering. Artificial Markets Project. MIT. http://lfe.mit.edu/research/artificial–mkts.html.        [ Links ]

Virtual Financial Markets. Center for Biological and Computational Learning. MIT. http://www.ai.mit.edu/projects/cbcl/res_area/finance/finance.html.        [ Links ]

Agent Based Computational Economics. Department of Economics. Iowa State University. http://www.econ.iastate.edu/tesfasti.        [ Links ]

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