IDEAS home Printed from
   My bibliography  Save this article

Modelación de las dinámicas, volatilidades e interrelaciones de los rendimientos del petróleo mexicano, BRENT y WTI


  • Antonio Ruiz-Porras

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

  • Javier Emmanuel Anguiano Pita

    () (Universidad de Guadalajara, CUCEA. Zapopan, Jalisco, México.)


Estudiamos las dinámicas, volatilidades e interrelaciones de los rendimientos del petróleo mexicano (MME), Brent y WTI con doce modelos GARCH multivariados. Los resultados sugieren que: 1) la volatilidad de la MME es mayor que la del WTI y menor que la del Brent; 2) el modelo AR(1)-TGARCH(1,1) con una distribución t-de-Student multivariada es el que mejor describe los rendimientos; 3) existen algunas interrelaciones entre las volatilidades de los rendimientos y 4) las buenas y malas noticias tienen impactos asimétricos sobre las volatilidades. El estudio usa datos diarios de los precios spot del petróleo y de sus rendimientos para el periodo 03/01/2000-11/02/2016.

Suggested Citation

  • Antonio Ruiz-Porras & Javier Emmanuel Anguiano Pita, 2016. "Modelación de las dinámicas, volatilidades e interrelaciones de los rendimientos del petróleo mexicano, BRENT y WTI," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 175-194, November.
  • Handle: RePEc:ere:journl:v:xxxv:y:2016:i:2:p:175-194

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    2. Backus, David K. & Crucini, Mario J., 2000. "Oil prices and the terms of trade," Journal of International Economics, Elsevier, vol. 50(1), pages 185-213, February.
    3. Peter Ferderer, J., 1996. "Oil price volatility and the macroeconomy," Journal of Macroeconomics, Elsevier, vol. 18(1), pages 1-26.
    4. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
    5. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955, March.
    6. Liwei Fan & Huiping Li, 2015. "Volatility analysis and forecasting models of crude oil prices: a review," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 5-17.
    7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    8. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    9. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    10. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    11. Papapetrou, Evangelia, 2001. "Oil price shocks, stock market, economic activity and employment in Greece," Energy Economics, Elsevier, vol. 23(5), pages 511-532, September.
    12. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
    13. Sánchez Albavera, Fernando & Vargas, Alejandro, 2005. "La volatilidad de los precios del petróleo y su impacto en América Latina," Recursos Naturales e Infraestructura 100, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    14. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    15. Dávila-Pérez, Javier & Nuñez-Mora, Jose Antonio & Ruiz-Porras, Antonio, 2007. "Volatilidad del Precio de la Mezcla Mexicana de Exportación
      [Price Volatility of the Mexican Export Crude Oil Blend]
      ," MPRA Paper 3562, University Library of Munich, Germany.
    16. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Rendimientos del petróleo; MME; Brent; WTI; Modelos GARCH Multivariados;

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ere:journl:v:xxxv:y:2016:i:2:p:175-194. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dora María Vega Facio). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.