Inteligencia computacional en el mercado financiero: una revisión de técnicas para la automatización de operaciones
DOI:
https://doi.org/10.33448/rsd-v12i5.41793Palabras clave:
Aprendizaje automático; Redes neuronales artificiales; Algoritmos genéticos; Lógica difusa.Resumen
El campo de las aplicaciones financieras se ha vuelto cada vez más complejo y desafiante, con comportamientos no lineales e inciertos que cambian con el tiempo. Por lo tanto, las técnicas de inteligencia computacional, incluidas las redes neuronales, los algoritmos genéticos y la lógica difusa, han ganado protagonismo como soluciones prometedoras para la automatización de decisiones en el mercado financiero. Este artículo tiene como objetivo explorar estudios recientes que abordan el uso de estas técnicas y discutir sus aplicaciones, ventajas y limitaciones. Se trata de una revisión de literatura narrativa, de carácter descriptivo exploratorio. La recolección de literatura se realizó en las bases de datos Science Direct y Scopus, utilizando palabras clave relacionadas con el tema. Se concluye que las técnicas de inteligencia computacional han demostrado ser capaces de resolver problemas altamente no lineales y variables en el tiempo, convirtiéndose así en un enfoque efectivo para automatizar operaciones en el mercado financiero.
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Derechos de autor 2023 Guilherme Francisco Lima Sobrinho; Rodolfo Carneiro Cavalcante
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