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Una propuesta para evaluar pronósticos de rendimientos de acciones cuando las distribuciones empíricas no son normales estacionarias

By José Carlos Ramírez and Rogelio Sandoval Saavedra


This paper deals with the main problems related to predictability of asset returns when data series are not normally stationary distributed. The statistical analysis includes several normality tests on returns series of Banamex-30 stocks first, and then an application of mixture of probability distributions and stochastic processes to series, which are not normal stationary. As a means to avoid the normality assumption when forecasting asset returns, we introduce a second-order Markov model.

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