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Reglas de Taylor y previsibilidad fuera de muestra de la tasa de cambio en Latinoamérica

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  • Daniel Andrés Jaimes Cárdenas
  • Jair Ojeda Joya

Abstract

El presente trabajo estudia un modelo sustentado en los fundamentos de la regla de Taylor para evaluar la previsibilidad de la tasa de cambio nominal de seis divisas latinoamericanas - el peso argentino, el peso chileno, el peso colombiano, el peso mexicano, el peso uruguayo y el real brasileño - con respecto al dólar norteamericano. Se utilizaron pruebas econométricas para comparar el poder de predicción del modelo estructural con respecto a una caminata aleatoria en horizontes de pronóstico de un mes. Los resultados muestran que el modelo basado en las reglas de Taylor permite obtener pronósticos fuera de muestra superiores a los realizados por un modelo de caminata aleatoria para las seis divisas bajo estudio. Este resultado es robusto a distintas especificaciones del modelo las cuales consideran entre otros, coeficientes heterogéneos y la inclusión de la tasa de cambio real en la regla de política monetaria. Este resultado, a su vez, contrasta con la baja capacidad predictiva encontrada en los modelos tradicionales basados en los fundamentos de la paridad no cubierta de la tasa de interés, la paridad de poder adquisitivo, y del modelo monetario con precios flexibles. La metodología utilizada sigue de cerca la utilizada por Molodtsova y Papell (2009) para países desarrollados.

Suggested Citation

  • Daniel Andrés Jaimes Cárdenas & Jair Ojeda Joya, 2010. "Reglas de Taylor y previsibilidad fuera de muestra de la tasa de cambio en Latinoamérica," Borradores de Economia 619, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:619
    DOI: 10.32468/be.619
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    1. Gourinchas, Pierre-Olivier & Tornell, Aaron, 2004. "Exchange rate puzzles and distorted beliefs," Journal of International Economics, Elsevier, vol. 64(2), pages 303-333, December.
    2. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    3. Charles Engel & Nelson C. Mark & Kenneth D. West, 2008. "Exchange Rate Models Are Not as Bad as You Think," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 381-441, National Bureau of Economic Research, Inc.
    4. Pierre-Olivier Gourinchas & Hélène Rey, 2007. "International Financial Adjustment," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 665-703, August.
    5. Molodtsova, Tanya & Nikolsko-Rzhevskyy, Alex & Papell, David H., 2008. "Taylor rules with real-time data: A tale of two countries and one exchange rate," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 63-79, October.
    6. Adrien Verdelhan, 2010. "A Habit‐Based Explanation of the Exchange Rate Risk Premium," Journal of Finance, American Finance Association, vol. 65(1), pages 123-146, February.
    7. Kirstin Hubrich & Kenneth D. West, 2010. "Forecast evaluation of small nested model sets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 574-594.
    8. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    9. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, vol. 53(1), pages 29-52, February.
    10. Daron Acemoglu & Kenneth Rogoff & Michael Woodford, "undated". "Exchange Rate Models Are Not as Bad as You Think: A comment," Working Paper 14895, Harvard University OpenScholar.
    11. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    12. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
    13. Rogoff, Kenneth, 1999. "Monetary Models of Dollar/Yen/Euro Nominal Exchange Rates: Dead or Undead?," Economic Journal, Royal Economic Society, vol. 109(459), pages 655-659, November.
    14. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    15. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    16. Molodtsova, Tanya & Papell, David H., 2009. "Out-of-sample exchange rate predictability with Taylor rule fundamentals," Journal of International Economics, Elsevier, vol. 77(2), pages 167-180, April.
    17. Cerra, Valerie & Saxena, Sweta Chaman, 2010. "The monetary model strikes back: Evidence from the world," Journal of International Economics, Elsevier, vol. 81(2), pages 184-196, July.
    18. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
    19. Ron Alquist & Menzie D. Chinn, 2008. "Conventional and unconventional approaches to exchange rate modelling and assessment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 2-13.
    20. Hansen, Peter Reinhard, 2005. "A Test for Superior Predictive Ability," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 365-380, October.
    21. Richard H. Clarida & Daniel Waldman, 2008. "Is Bad News about Inflation Good News for the Exchange Rate? And, If So, Can That Tell Us Anything about the Conduct of Monetary Policy?," NBER Chapters, in: Asset Prices and Monetary Policy, pages 371-396, National Bureau of Economic Research, Inc.
    22. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    23. Sarmidi, Tamat, 2008. "Exchange Rates Predictability in Developing Countries," MPRA Paper 16580, University Library of Munich, Germany.
    24. Francis Vitek, 2005. "The Exchange Rate Forecasting Puzzle," International Finance 0509005, University Library of Munich, Germany.
    25. Groen, Jan J J, 2005. "Exchange Rate Predictability and Monetary Fundamentals in a Small Multi-country Panel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 495-516, June.
    26. David Harvey & Paul Newbold, 2000. "Tests for multiple forecast encompassing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 471-482.
    27. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    28. MacDonald, Ronald, 1999. "Exchange Rate Behaviour: Are Fundamentals Important?," Economic Journal, Royal Economic Society, vol. 109(459), pages 673-691, November.
    29. Campbell, John Y. (ed.), 2008. "Asset Prices and Monetary Policy," National Bureau of Economic Research Books, University of Chicago Press, number 9780226092119.
    30. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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    Cited by:

    1. Alfredo Bateman y Javier E. Martinez & Javier Esteban Martinez, 2010. "Cuaderno 4: Análisis de las fuentes de oferta y demanda en el mercado de divisas," Cuadernos de Desarrollo Económico 7586, Secretaría Distrital de Desarrollo Económico.

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    More about this item

    Keywords

    Previsibilidad fuera de muestra; Tasa de cambio nominal; Regla de Taylor.;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • F3 - International Economics - - International Finance

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