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Modelación de la asimetría y curtosis condicionales: una aplicación VaR para series colombianas

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  • Andrés Eduardo Jiménez Gómez

    ()

  • Luis Fernando Melo Velandia

    ()

Abstract

Las metodologías tradicionales utilizadas para calcular el valor en riesgo y el valor en riesgo condicional usualmente modelan el primer y segundo momento de las series, suponiendo que el tercer y cuarto momento son constantes. En este documento se utiliza la metodología de Hansen [1994] para modelar los primeros cuatro momentos de la serie, en particular, se usan varias formas paramétricas para modelar la asimetría y curtosis. Las medidas de VaR y CVaR tradicionales y las propuestas son calculadas para la Tasa Representativa del Mercado, los TES, y el IGBC para el periodo diario comprendido entre enero de 2008 y febrero de 2014. En general, se encuentra que las medidas de riesgo de mercado presentan mejor desempeño al modelar la asimetría y la curtosis.

Suggested Citation

  • Andrés Eduardo Jiménez Gómez & Luis Fernando Melo Velandia, 2014. "Modelación de la asimetría y curtosis condicionales: una aplicación VaR para series colombianas," Borradores de Economia 834, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:834
    DOI: 10.32468/be.834
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    File URL: https://doi.org/10.32468/be.834
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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