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Los rendimientos cambiarios latinoamericanos y la (a)simetría de los shocks informacionales: un análisis econométrico

Author

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  • Arturo Lorenzo Valdés
  • Antonio Ruiz Porras

Abstract

Esta investigación presenta un estudio comparativo de los rendimientos cambiarios latinoamericanos, en el que se usó la metodología de cointegración de Johansen y los modelos asimétricos TGARCH y EGARCH. Los resultados indican que las volatilidades de los rendimientos de Argentina, Brasil, Chile y Colombia no presentan efectos asimétricos. En México y Perú las malas noticias reducen la volatilidad de los rendimientos cambiarios; además, los resultados sugieren que los rendimientos de Argentina, Brasil, Chile y Perú se describen mediante el modelo AR(1)-TGARCH(1,1); mientras que los rendimientos de Colombia y México lo hacen a través del AR(1)-EGARCH(1,1). Finalmente, se usaron rendimientos diarios para el periodo comprendido entre el 2 de enero de 2002 y el 27 de septiembre de 2011.Clasificación JEL: F31, G15, C58.

Suggested Citation

  • Arturo Lorenzo Valdés & Antonio Ruiz Porras, 2012. "Los rendimientos cambiarios latinoamericanos y la (a)simetría de los shocks informacionales: un análisis econométrico," Ensayos Revista de Economía, Universidad Autónoma de Nuevo León, vol. 31(2), pages 87-113, November.
  • Handle: RePEc:ere:journl:v:31:y:2012:i:2:id:68
    DOI: 10.29105/ensayos31.2-4
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    References listed on IDEAS

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    1. Cecilia Maya & Karoll Gómez, 2008. "What Exactly is "Bad News" in Foreign Exchange Markets? Evidence from Latin American Markets," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 161-183.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Isabel Ruiz, 2009. "Common volatility across Latin American foreign exchange markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(15), pages 1197-1211.
    4. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
    5. Kim, Chang-Jin & Piger, Jeremy & Startz, Richard, 2008. "Estimation of Markov regime-switching regression models with endogenous switching," Journal of Econometrics, Elsevier, vol. 143(2), pages 263-273, April.
    6. José De Gregorio & Andrea Tokman R, 2005. "Flexible exchange rate regime and forex intervention," BIS Papers chapters, in: Bank for International Settlements (ed.), Foreign exchange market intervention in emerging markets: motives, techniques and implications, volume 24, pages 127-38, Bank for International Settlements.
    7. Michel Beine & Jérôme Lahaye & Sébastien Laurent & Christopher J. Neely & Franz C. Palm, 2007. "Central bank intervention and exchange rate volatility, its continuous and jump components," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 201-223.
    8. Domac, Ilker & Mendoza, Alfonso, 2004. "Is there room for foreign exchange interventions under an inflation targeting framework ? Evidence from Mexico and Turkey," Policy Research Working Paper Series 3288, The World Bank.
    9. Wang, Jianxin & Yang, Minxian, 2009. "Asymmetric volatility in the foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 597-615, October.
    10. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2000. "Exchange Rate Returns Standardized by Realized Volatility are (Nearly) Gaussian," Multinational Finance Journal, Multinational Finance Journal, vol. 4(3-4), pages 159-179, September.
    11. Beine, Michel & Benassy-Quere, Agnes & MacDonald, Ronald, 2007. "The impact of central bank intervention on exchange-rate forecast heterogeneity," Journal of the Japanese and International Economies, Elsevier, vol. 21(1), pages 38-63, March.
    12. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc.
    13. Hibbert, Ann Marie & Daigler, Robert T. & Dupoyet, Brice, 2008. "A behavioral explanation for the negative asymmetric return-volatility relation," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2254-2266, October.
    14. Claudio Bonilla & Rafael Romero-Meza & Melvin Hinich, 2007. "GARCH inadequacy for modelling exchange rates: empirical evidence from Latin America," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2529-2533.
    15. Yuko Hashimoto & Takatoshi Ito, 2011. "Market Microstructure of the Foreign Exchange Markets: Evidence from the Electronic Broking System," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures, chapter 3, pages 66-91, Palgrave Macmillan.
    16. McKenzie, Michael, 2002. "The Economics of Exchange Rate Volatility Asymmetry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 247-260, July.
    17. Neely, Christopher J., 2008. "Central bank authorities' beliefs about foreign exchange intervention," Journal of International Money and Finance, Elsevier, vol. 27(1), pages 1-25, February.
    18. Constanza Martínez & Manuel Ramirez, 2011. "Dynamic conditional correlation in Latin-American asset markets," Documentos de Trabajo 8907, Universidad del Rosario.
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    Keywords

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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