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Aplicación de la teoría de valores extremos al gerenciamiento del riesgo


  • Miguel T. Delfiner
  • Matías A. Gutiérrez Girault


Los activos en los mercados emergentes se caracterizan por una distribución de sus retornos más leptocúrtica que la de sus pares en mercados desarrollados. En este contexto se han aplicado diversas técnicas basadas en la Teoría de Valores Extremos (EVT) a un gran número de activos locales, a efectos de calcular su Valor a Riesgo (VaR). Estos resultaron ser mucho más precisos a la hora de predecir pérdidas extremas respecto a valores de VaR obtenidos bajo la hipótesis normal. Las técnicas consisten en un método estático2 y un método dinámico para calcular el VaR. Este último combina una estimación por pseudo máxima verosimilitud de un modelo AR(1) – GARCH(1,1) para la volatilidad corriente y EVT para estimar la cola de la distribución de la innovación del modelo.

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  • Miguel T. Delfiner & Matías A. Gutiérrez Girault, 2002. "Aplicación de la teoría de valores extremos al gerenciamiento del riesgo," CEMA Working Papers: Serie Documentos de Trabajo. 217, Universidad del CEMA.
  • Handle: RePEc:cem:doctra:217

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    References listed on IDEAS

    1. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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    Cited by:

    1. Jose Fernandes & Augusto Hasman & Juan Ignacio Pena, 2007. "Risk premium: insights over the threshold," Applied Financial Economics, Taylor & Francis Journals, vol. 18(1), pages 41-59.
    2. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, EconWPA.

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