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Distribucion hiperbolica generalizada: una aplicacion en la seleccion de portafolios y en cuantificacion de medidas de riesgo de mercado

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  • Jose Luis Alayon G.

Abstract

La distribución hiperbólica generalizada ha sido usada por académicos y profesionales para eliminar los problemas de colas de distribución delgadas en finanzas, y por su utilidad en la modelación de los retornos de los activos y de las medidas de riesgo de mercado. En este trabajo, la distribución hiperbólica generalizada es usada para encontrar el portafolio óptimo y su riesgo de mercado. Igualmente, se desarrolla un método para la Selección de Portafolio Robusto la cual reduce la sensibilidad del portafolio ante variaciones de los parámetros de la distribución. Luego de esto, se muestra un esquema comparativo para determinar cómo la inclusión del nuevo método representa un avance respecto a la teoría de selección de portafolios de Markowitz. Por último, en algunos gráficos se muestra el efecto de los parámetros sobre la forma de la distribución, lo que se usa para generar escenarios de estrés y portafolios óptimos.

Suggested Citation

  • Jose Luis Alayon G., 2015. "Distribucion hiperbolica generalizada: una aplicacion en la seleccion de portafolios y en cuantificacion de medidas de riesgo de mercado," Revista de Economía del Rosario, Universidad del Rosario, vol. 18(2), pages 249-308, December.
    • Handle: RePEc:col:000151:014852
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    References listed on IDEAS

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    More about this item

    Keywords

    distribución hiperbólica generalizada; selección de portafolio; selección deportafolio robusto; valor en riesgo condicional; Markowitz; valor en riesgo condicional delpeor escenario; asignación de activos; administración de riesgos; multiciclo; expectativa; ymomento de estimación condicional.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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