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Pronóstico de los índices accionarios DAX y S&P 500 con redes neuronales diferenciales

Author

Listed:
  • Ortíz Arango Francisco

    (Universidad Panamericana)

  • Cabrera Llanos Agustín Ignacio

    (Instituto Politécnico Nacional)

  • López Herrera Francisco

    (Universidad Nacional Autonoma de México)

Abstract

En este trabajo se utiliza una red neuronal diferencial (RND) para describir las series de valores de cierre diarios de los índices accionarios DAX de Alemania y S&P 500 de Estados Unidos entre el periodo del 3 de julio de 2000 y el 13 de enero de 2012. Con la RND se lleva a cabo el pronóstico de los valores de cierre diarios de esos índices durante un periodo de cuatro semanas (del 16 de enero al 10 de febrero de 2012). Los resultados obtenidos confirman el hecho de que las redes neuronales diferenciales pueden constituirse en una de las herramientas más poderosas y precisas para poder pronosticar valores futuros de activos financieros.

Suggested Citation

  • Ortíz Arango Francisco & Cabrera Llanos Agustín Ignacio & López Herrera Francisco, 2013. "Pronóstico de los índices accionarios DAX y S&P 500 con redes neuronales diferenciales," Contaduría y Administración, Accounting and Management, vol. 58(3), pages 203-225, julio-sep.
    • Handle: RePEc:nax:conyad:v:58:y:2013:i:3:p:203-225
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    References listed on IDEAS

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