Examinando por Autor "Ayala Urrea, Jhon Stiwart"

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    Estimación del Valor en Riesgo -VaR- para un portafolio de inversión compuesto por acciones del COLCAP bajo el método de Cópulas usando la distribución t-student
    (Universidad EAFIT, 2022) Ayala Urrea, Jhon Stiwart; Hoyos Giraldo, Ricardo; Peña Higuavita, Germán Adolfo
    Value at Risk (VaR) is a measure used to calculate the limit of the possible loss of value of a portfolio with a defined confidence level. There are traditional methods to calculate it such as Historical Simulation and Variance-Covariance; however, both rely on the past to explain the future, so in the face of events occurring for the first time, their risk estimate is limited. This research proposes a way to prepare the financial market for an upcoming pandemic or other future risk event. The Copulas method is used following a t-student distribution that provides a way to define the correlation structure between two or more variables, regardless of the shapes of their probability distributions. The results obtained show that the estimation of VaR is more accurate and consistent under the Copulas method than by traditional methods.