Cálculo de VaR a partir de simulaciones Monte Carlo de rendimientos de activos financieros, con distribuciones no paramétricas y dependientes, utilizando el Método de Iman-Conover
Juan Sampieri,
Barbara Ruth Trejo Becerril () and
Luis Manuel González de Salceda Ruiz ()
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Barbara Ruth Trejo Becerril: Grupo Financiero HSBC
Luis Manuel González de Salceda Ruiz: Tecnológico de Monterrey
Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), 2014, vol. 8, issue 1, 37-59
Abstract:
The main purpose of this research work is to present a Monte Carlo model focused in the simulation of vectors with financial assets returns, starting from historical empirical returns series, in which the simulated series have the same probability distributions as the empirical (no distribution is assumed a priori) and save between then the same rank correlation as the observed. The case study shows the application of the model to a portfolio constituted by 30 stocks of the Mexican IPC, for which 100,000 simulations of daily returns for each stock are performed, the frequency distribution of the portfolio is obtained, and VaR is calculated with a 99 % confidence level, for a time horizon of one day
Keywords: Simulación Monte Carlo; Método de Iman-Conover; Valor en Riesgo (search for similar items in EconPapers)
JEL-codes: C15 C63 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:ega:rafega:201403
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