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Metodos de combinacion de pronosticos: una aplicacion a la inflacion

Author

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  • Elkin Castaño Vélez
  • Luis Fernando Melo Velandia

Abstract

En este trabajo se presentan algunos métodos de combinación de pronósticos de diferentes modelos econométricos. Estas metodologías tienen como principal objetivo encontrar una combinación lineal de pronósticos de diferentes modelos que produzca una predicción mejorada en términos de precisión. Basados en estas técnicas se realizan dos ejercicios: en la primera aplicación se emplean estos métodos sobre quince modelos trimestrales de la inflación colombiana para pronósticos en el periodo comprendido entre 1992:I y 1998:II considerando horizontes desde uno hasta cuatro trimestres. Los resultados de este análisis muestran una mejoría significativa en las predicciones; en efecto, el pronóstico combinado comparado con los pronósticos del mejor de los modelos econométricos reporta ganancias en precisión (RMSE); en caso del horizonte de un trimestre es del 16.1%; para el horizonte que dos trimestres es del 42%; para el horizonte tres del 21.3% y del 12.8% para el horizonte de cuatro trimestres. La segunda aplicación de las metodologías de combinación de pronósticos se realiza utilizando un ejercicio de simulación, el cual se basa en modelos similares a los empleados en el primer ejercicio; los resultados obtenidos muestran que bajo técnicas adecuadas de combinación de pronósticos es posible obtener alrededor de un 50% y 35% de ganancia en precisión con respecto a los modelos individuales para horizontes de uno y cuatro trimestres, respectivamente.

Suggested Citation

  • Elkin Castaño Vélez & Luis Fernando Melo Velandia, 2000. "Metodos de combinacion de pronosticos: una aplicacion a la inflacion," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 52, pages 113-165, Enero Jun.
  • Handle: RePEc:lde:journl:y:2000:i:52:p:113-165
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    References listed on IDEAS

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    1. Fair, Ray C & Shiller, Robert J, 1989. "The Informational Context of Ex Ante Forecasts," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 325-331, May.
    2. Blake, David & Beenstock, Michael & Brasse, Valerie, 1986. "The Performance of UK Exchange Rate Forecasters," Economic Journal, Royal Economic Society, vol. 96(384), pages 986-999, December.
    3. Cooper, J Phillip & Nelson, Charles R, 1975. "The Ex Ante Prediction Performance of the St. Louis and FRB-MIT-PENN Econometric Models and Some Results on Composite Predictors," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 7(1), pages 1-32, February.
    4. Virtanen, Ilkka & Yli-Olli, Paavo, 1987. "Forecasting stock market prices in a thin security market," Omega, Elsevier, vol. 15(2), pages 145-155.
    5. Hafer, R W & Hein, Scott E, 1985. "On the Accuracy of Time-Series, Interest Rate, and Survey Forecasts of Inflation," The Journal of Business, University of Chicago Press, vol. 58(4), pages 377-398, October.
    6. Cumby, Robert E & Huizinga, John, 1992. "Testing the Autocorrelation Structure of Disturbances in Ordinary Least Squares and Instrumental Variables Regressions," Econometrica, Econometric Society, vol. 60(1), pages 185-195, January.
    7. Yock Y. Chong & David F. Hendry, 1986. "Econometric Evaluation of Linear Macro-Economic Models," Review of Economic Studies, Oxford University Press, vol. 53(4), pages 671-690.
    8. Campbell, Bryan & Ghysels, Eric, 1995. "Federal Budget Projections: A Nonparametric Assessment of Bias and Efficiency," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 17-31, February.
    9. Diebold, Francis X, 1988. "Serial Correlation and the Combination of Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(1), pages 105-111, January.
    10. Peter A. Morris, 1974. "Decision Analysis Expert Use," Management Science, INFORMS, vol. 20(9), pages 1233-1241, May.
    11. Engle, R. F. & Granger, C. W. J. & Hallman, J. J., 1989. "Merging short-and long-run forecasts : An application of seasonal cointegration to monthly electricity sales forecasting," Journal of Econometrics, Elsevier, vol. 40(1), pages 45-62, January.
    12. Deutsch, Melinda & Granger, Clive W. J. & Terasvirta, Timo, 1994. "The combination of forecasts using changing weights," International Journal of Forecasting, Elsevier, vol. 10(1), pages 47-57, June.
    13. Robert Conroy & Robert Harris, 1987. "Consensus Forecasts of Corporate Earnings: Analysts' Forecasts and Time Series Methods," Management Science, INFORMS, vol. 33(6), pages 725-738, June.
    14. Hendry, David F & Mizon, Grayham E, 1978. "Serial Correlation as a Convenient Simplification, not a Nuisance: A Comment on a Study of the Demand for Money by the Bank of England," Economic Journal, Royal Economic Society, vol. 88(351), pages 549-563, September.
    15. Min, Chung-ki & Zellner, Arnold, 1993. "Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 89-118, March.
    16. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    17. Mills, Terence C. & Stephenson, Michael J., 1987. "A time series forecasting system for the UK money supply," Economic Modelling, Elsevier, vol. 4(3), pages 355-369, July.
    18. Edwin J. Elton & Martin J. Gruber & Mustafa Gultekin, 1981. "Expectations and Share Prices," Management Science, INFORMS, vol. 27(9), pages 975-987, September.
    19. Lin, Chien-Fu Jeff & Terasvirta, Timo, 1994. "Testing the constancy of regression parameters against continuous structural change," Journal of Econometrics, Elsevier, vol. 62(2), pages 211-228, June.
    20. Engle, Robert F. & Granger, C. W. J. & Kraft, Dennis, 1984. "Combining competing forecasts of inflation using a bivariate arch model," Journal of Economic Dynamics and Control, Elsevier, vol. 8(2), pages 151-165, November.
    21. Nelson, Charles R, 1972. "The Prediction Performance of the FRB-MIT-PENN Model of the U.S. Economy," American Economic Review, American Economic Association, vol. 62(5), pages 902-917, December.
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    Cited by:

    1. Luis Fernando Melo & Rubén Albeiro Loaiza Maya, 2012. "Bayesian Forecast Combination for Inflation Using Rolling Windows: An Emerging Country Case," Borradores de Economia 705, Banco de la Republica de Colombia.

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