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Fuzzy Portfolio Selection with Sugeno Type Fuzzy Neural Network: Investing in the Mexican Stock Market

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  • Judith Jazmin Castro Pérez

    (Universidad Tecnológica de México, México)

  • José Eduardo Medina Reyes

    (Instituto Politécnico Nacional, México)

Abstract

El objetivo de esta investigación es comparar los rendimientos de la metodología propuesta denominada como Portafolios Difusos con Redes Neurales Difusas Tipo Sugeno contra la teoría de portafolios de Markowitz; buscando identificar el mejor modelo de inversión. Para ello, se estudian diez acciones del mercado mexicano en formato diario desde el 2 de enero 2015 hasta el 15 de mayo de 2020, con el fin de obtener portafolios de inversión semanales desde el 15 de mayo hasta el 12 de junio de 2020. El principal resultado es que nuestra metodología reconoce el comportamiento de cada acción, genera una mejor gestión del riesgo y proporciona mayor rentabilidad en comparación con las técnicas tradicionales. La recomendación es evaluar otras acciones y mercados para verificar la eficiencia del modelo, la limitación es que un análisis fundamental debe preceder a la herramienta, y la originalidad es la nueva técnica propuesta. La principal conclusión es que el modelo de selección de cartera basado en redes neuronales difusas generó dos portafolios sin rendimientos negativos durante el periodo, la ganancia acumulada obtenida fue de hasta un 15.68%.

Suggested Citation

  • Judith Jazmin Castro Pérez & José Eduardo Medina Reyes, 2021. "Fuzzy Portfolio Selection with Sugeno Type Fuzzy Neural Network: Investing in the Mexican Stock Market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(TNEA), pages 1-25, Septiembr.
    • Handle: RePEc:imx:journl:v:16:y:2021:i:tnea:a:9
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    References listed on IDEAS

    as
    1. Yu, Hui-Kuang, 2005. "Weighted fuzzy time series models for TAIEX forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 609-624.
    2. Medina Reyes, José Eduardo & Castro Pérez, Judith Jazmin & Cabrera Llanos, Agustín Ignacio & Cruz Aké, Salvador, 2020. "Red neuronal autorregresiva difusa tipo Sugeno con funciones de membresía triangular y trapezoidal: una aplicación al pronóstico de índices del mercado bursátil / Sugeno Type Fuzzy Nonlinear Autoregre," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 10(1), pages 77-101, enero-jun.
    3. Masoud Rahiminezhad Galankashi & Farimah Mokhatab Rafiei & Maryam Ghezelbash, 2020. "Portfolio selection: a fuzzy-ANP approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-34, December.
    4. Markowitz, Harry M, 1991. "Foundations of Portfolio Theory," Journal of Finance, American Finance Association, vol. 46(2), pages 469-477, June.
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    More about this item

    Keywords

    Teoría de Portafolios; Teoría Difusa; Red Neuronal Difusa; Mercados Financieros; Teoría de Portafolios de Markowitz;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • E7 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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