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Efecto día en el mercado accionario Colombiano: Una aproximación no paramétrica

Author

Listed:
  • Jhonatan Pérez Villalobos
  • Juan Carlos Mendoza de Gutiérrez de Piñeres

Abstract

En el presente trabajo se muestra evidencia para rechazar la Hipótesis de Mercado Eficiente (HME) a través de la anomalía efecto día (day effect). Se utilizan dos aproximaciones: la primera, bajo el supuesto de normalidad, estima un modelo lineal que corrobora los hallazgos de estudios anteriores sobre un efecto significativo del día de la semana sobre el retorno. La segunda, felixibiliza el supuesto de normalidad aplicando pruebas no paramétricas, y confirma los resultados de la primera aproximación. Se utilizó el IGBC y una versión diversificada de éste, la cual responde a la alta concentración del índice en pocas acciones. Este documento corrobora los resultados de otras investigaciones basadas en métodos paramétricos, y adicionalmente, a partir de pruebas no paramétricas, muestra que existe un efecto día significativo.

Suggested Citation

  • Jhonatan Pérez Villalobos & Juan Carlos Mendoza de Gutiérrez de Piñeres, 2010. "Efecto día en el mercado accionario Colombiano: Una aproximación no paramétrica," Borradores de Economia 6700, Banco de la Republica.
    • Handle: RePEc:col:000094:006700
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    Citations

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    Cited by:

    1. López Gaviria, José Ignacio, 2019. "Predictibilidad del mercado accionario colombiano," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 91, pages 117-150, July.
    2. Carlos León, 2012. "Implied probabilities of default from Colombian money market spreads: The Merton Model under equity market informational constraints," Borradores de Economia 743, Banco de la Republica de Colombia.
    3. Andrés Felipe Galeano Zurbaran, 2018. "Distribuciones no normales para la selección de activos en el mercado Colombiano," Documentos de Trabajo 17208, Quantil.

    More about this item

    Keywords

    Eficiencia de mercado; hipótesis de mercado eficiente; métodos no paramétricos; IGBC; retornos.;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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