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

Author

Listed:
  • José Carlos Ramírez

    (Tecnológico de Monterrey, Campus Ciudad de México)

  • Rogelio Sandoval Saavedra

    (Secretaría de Hacienda y Crédito Público)

Abstract

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.

Suggested Citation

  • José Carlos Ramírez & Rogelio Sandoval Saavedra, 2003. "Una propuesta para evaluar pronósticos de rendimientos de acciones cuando las distribuciones empíricas no son normales estacionarias," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 18(2), pages 237-277.
    • Handle: RePEc:emx:esteco:v:18:y:2003:i:2:p:237-277
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    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/182/184
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    References listed on IDEAS

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    4. Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-328, April.
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