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

Author

Listed:
  • Arturo Lorenzo-Valdés

    (Departamento de Contabilidad y Finanzas. Tecnológico de Monterrey, Campus Ciudad de México. México, Distrito Federal. México.)

  • Antonio Ruiz-Porras

    (Departamento de Métodos Cuantitativos. Universidad de Guadalajara. Zapopan, Jalisco. México.)

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.

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 Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 87-113, November.
  • Handle: RePEc:ere:journl:v:xxxi:y:2012:i:2:p:87-113
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    References listed on IDEAS

    as
    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. José De Gregorio & Andrea Tokman R., 2004. "Flexible Exchange Rate Regime and Forex Interventions: The Chilean Case," Economic Policy Papers Central Bank of Chile 11, Central Bank of Chile.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Viviana Fernández, 2002. "How Sensitive is Volatility to Exchange Rate Regimes?," Documentos de Trabajo 135, Centro de Economía Aplicada, Universidad de Chile.
    5. Isabel Ruiz, 2009. "Common volatility across Latin American foreign exchange markets," Applied Financial Economics, Taylor & Francis Journals, vol. 19(15), pages 1197-1211.
    6. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
    7. 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.
    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. Sarno,Lucio & Taylor,Mark P., 2003. "The Economics of Exchange Rates," Cambridge Books, Cambridge University Press, number 9780521485845, October.
    11. 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.
    12. 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.
    13. Jeffrey A. Frankel & Andrew K. Rose, 1994. "A Survey of Empirical Research on Nominal Exchange Rates," NBER Working Papers 4865, National Bureau of Economic Research, Inc.
    14. 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.
    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. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    17. 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.
    18. 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.
    19. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    20. 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.
    21. Bank for International Settlements, 2005. "Foreign exchange market intervention in emerging markets: motives, techniques and implications," BIS Papers, Bank for International Settlements, number 24.
    22. Jeffrey A. Frankel & Giampaolo Galli & Alberto Giovannini, 1996. "The Microstructure of Foreign Exchange Markets," NBER Books, National Bureau of Economic Research, Inc, number fran96-1.
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    More about this item

    Keywords

    Rendimientos cambiarios; Latinoamérica; TGARCH; EGARCH; Cointegración;
    All these keywords.

    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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