Modeling the Dynamics, Volatilities and Interrelations of the Mexican, Brent and WTI Oil Returns
Keywords:
Oil returns, MME, Brent, WTI, Multivariate GARCH modelsAbstract
We study the dynamics, volatilities, and interrelations of the Mexican (MME), Brent and WTI oil returns with twelve multivariate GARCH models. The main results suggest that: 1) The volatility of MME is bigger than the one of the WTI but smaller than the one of Brent. 2) The AR (1)-TGARCH (1,1) model with a multivariate t-Student distribution is the best one to describe the returns. 4) There are some interrelations among the volatilities of returns, and 4) good and bad news have asymmetric impacts on the volatilities. The study uses daily data of oil spot prices and their returns for the period 01/03/2000- 11/02/2016.
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References
Backus, D., y Crucini, M. (2000). “Oil prices and the terms of trade”. Journal of International Economics, 50, 185-213.
Bashiri-Behmiri, N. y Pires-Manso, J.R. (2013). “Crude oil forecasting techniques: A comprehensive review of literature”. Alternative Investment Analysis Review, 2(3), 30-49.
Bollerslev, T. (1986). “Generalized autoregressive conditional heteroskedasticity”. Journal of Econometrics, 31(3), 307-327.
Bollerslev, T. (1990). “Modeling the coherence in short-run nominal exchange rates: A multivariate generalized ARCH model”. Review of Economics and Statistics, 72(3), 498-505.
Bollerslev, T., Engle, R.F. y Wooldridge, J.M. (1988). “A capital asset pricing model with time-varying covariances”. Journal of Political Economy, 96(1), 116-131.
Brooks, C. (2008). Introductory Econometrics for Finance, Segunda edición, Cambridge, UK: Cambridge University Press.
Burnham, K. P. y Anderson, D.R. (2002). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Segunda edición, Nueva York, US: Springer-Verlag.
Dávila-Pérez, J., Núñez-Mora, J.A. y Ruiz-Porras, A. (2006). “Volatilidad del precio de la mezcla mexicana de exportación”. Economía, Teoría y Práctica, 25, 37-52.
De-Jesús-Gutiérrez, R. (2016). “Estrategias dinámicas de cobertura cruzada eficiente para el mercado del petróleo mexicano: Evidencia de dos modelos GARCH multivariados con término de corrección de error”. Economía, Teoría y Práctica, 44, 115-146.
De-Jesús-Gutiérrez, R. y Carvajal-Gutiérrez, L. (2013). “Modelación y predicción de la volatilidad con innovaciones de colas pesadas distribuidas: Evidencia empirica para los petróleos Maya y Mezcla Mexicana de Exportación”. Paradigma Económico, 5(1), 67-105.
De-Jesús-Gutiérrez, R., Vergara-González, R. y Diaz-Carreño, M.A. (2015). “Predicción de la volatilidad en el mercado de petróleo mexicano ante la presencia de efectos asimétricos”. Lecturas de Economía, 34(65), 299-326.
Engle, R.F. (1982). “Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation”. Econometrica, 50(4), 987-1007.
Engle, R.F. y Kroner, K.F. (1995). “Multivariate simultaneous generalized ARCH”. Econometric Theory, 11(1), 122-150.
Fan, L. y Li, H. (2015). "Volatility analysis and forecasting models of crude oil prices: A review". International Journal of Global Energy Issues, 38(1-3), 5-17.
Fattouh, B. (2007). “The drivers of oil prices: the usefulness and limitations of non-structural model, the demand-supply framework and informal approaches”. EIB Papers, 12(1), 128-156.
Ferderer, J.P. (1996). “Oil price volatility and the macroeconomy”. Journal of Macroeconomics, 18(1), 1-26.
Guo, H. y Kliesen, K.L. (2005). “Oil price voatility and US macroeconomic activity”, Federal Reserve Bank of St. Louis Review, 87(6), 669-683.
Hamilton, J.D. (1983). “Oil and the macroeconomy since World War II”. Journal of Political Economy, 91(2), 228-248.
Hilyard, J.F. (2012). The Oil and Gas Industry: A Non-Technical Guide. Tulsa, US: Pen Well.
IMP (2014). “Tipos de Petróleo”. Instituto Mexicano del Petróleo. Ciudad de México, México: Instituto Mexicano del Petróleo.
Iranzo, J.E. (1993). La OPEP: Del esplendor a la decadencia. En González, S., (coord.). Temas de Organización Económica Internacional (209-218). Madrid, España: McGraw-Hill.
López-Sarabia, P. y Venegas-Martínez, F. (2010). “Sobre la eficiencia de las coberturas petroleras contratadas con opciones de venta: Un análisis con modelos GARCH”. Eseconomía, 26, 7-23.
Lorenzo-Valdés, A., Durán-Vázquez, R. y Armenta-Fraire, L. (2012). “Conditional correlation between oil and stock market returns: The case of Mexico”. Revista Mexicana de Economía y Finanzas, 7(1), 49-63.
Minovic, J.Z. (2009). "Modeling multivariate volatility processes: Theory and evidence". Theoretical and Applied Economics, 5(1), 21-44.
Morck, K.A. (1989). "Oil and the macroeconomy when prices go up and down: An extension of Hamilton's results". Journal of Political Economy, 97(3), 740-744.
OPEC. (2016). “OPEC Monthly Oil Market Report (18 January 2016)”. Organization of the Petroleum Exporting Countries. Viena, Austria: Organization of the Petroleum Exporting Countries.
OPEC. (2014). “2014 World Oil Outlook”. Organization of the Petroleum Exporting Countries. Viena, Austria: Organization of the Petroleum Exporting Countries.
Papapetrou, E. (2001). “Oil price shocks, stock market, economic activity and employment in Greece”. Energy Economics, 23(5), 511-532.
Regnier, E. (2007). “Oil and energy price volatility”. Energy Economics, 29(3), 405-427.
Sadorsky, P. (1999). “Oil price shocks and stock market activity”. Energy Economics, 21(5), 449-469.
Sánchez Albavera, F. y Vargas, A. (2005). La Volatilidad de los Precios del Petróleo y su Impacto en América Latina. Santiago de Chile, Chile: Comisión Económica para América Latina y el Caribe.
SHCP (2015). “Ley de Ingresos de la Federación para el Ejercicio Fiscal de 2016”. Secretaria de Hacienda y Crédito Público. Ciudad de México, México: Gobierno Federal.
Zakoian, J.M. (1994). “Threshold heteroskedastic models”. Journal of Economic Dynamics and Control, 18(5), 931-055.
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Copyright (c) 2016 Antonio Ruiz-Porras, Javier Emmanuel Anguiano-Pita
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