dc.creatorDe Jesús-Gutiérrez, Raúl
dc.date.accessioned2021-02-26T16:35:16Z
dc.date.available2021-02-26T16:35:16Z
dc.date.created2021-02-26T16:35:16Z
dc.date.issued2019-07
dc.identifierGutiérrez, R. d. (2019). Integración entre mercados de petróleo de diferente calidad con base en las correlaciones condicionales dinámicas. Revista de Finanzas y Política Económica, 11(2), 349-370.
dc.identifierhttps://hdl.handle.net/10983/25607
dc.description.abstractEste artículo prueba el grado de integración de México en los mercados internacionales del petróleo a través de la evolución de las correlaciones dinámicas en periodos estables, de crisis e inestables. Las estimaciones del modelo GARCH-CCD muestran que las correlaciones son positivas y cambian con el tiempo en respuesta al origen de choques en los precios del petróleo para los periodos de relativa calma, crisis y turbulencia financiera. Asimismo, los resultados del estadístico-t y valor-p bootstrap confirman que las correlaciones son significativamente diferentes en periodos de estabilidad e inestabilidad con respecto a las correlaciones del periodo de crisis, lo que favorece la hipótesis de regionalización entre los mercados de petróleo. Los hallazgos tienen importantes implicaciones económicas y financieras para el gobierno y los consumidores.
dc.description.abstractAbstract: This paper tests the degree of integration between Mexico’s and world crude oil markets throughout the evolution of dynamics correlations during the stable, crisis and volatile periods. The estimations of DCC-GARCH model show that the correlations are positive and time-varying in responds to theorigin of the oil price shocks in periods of relative calm and financial turmoil. Likewise, the results of statistic-t and bootstrap p-value confirm strongly that the correlations in the crisis period are significantly different from those in the stable and volatile periods, which provides evidence in favor of the regionalization hypothesis between crude oil markets. The findings have important economic and financial implications for the government and consumers.
dc.description.abstractResumo: Este artigo testa o grau de integração do México nos mercados internacionais do petróleo por meio da evolução das correlações dinâmicas em períodos estáveis, de crise e instáveis. As estimativas do modelo GARCH-CCD mostram que as correlações são positivas e se transformam com o tempo em resposta à origem de choques nos preços do petróleo para os períodos de relativa calma, crise e turbulência financeira. Além disso, os resultados do estatístico-t e valor-p bootstrap confirmam que as correlações são significativamente diferentes em períodos de estabilidade e instabilidade a respeito das correlações do período de crise, o que favorece a hipótese de regionalização entre os mercados de petróleo. Os achados têm importantes consequências econômicas e financeiras para o governo e para os consumidores.
dc.languagespa
dc.publisherUniversidad Católica de Colombia. Facultad de Ciencias Económicas y Administrativas
dc.publisherBogotá
dc.relation370
dc.relation2
dc.relation349
dc.relation11
dc.relationRevista Finanzas y Política Económica
dc.relationAdelman, M. A. (1984). International oil agreements. Energy Journal, 5(3), 1-9. https://www.jstor.org/ stable/41321691
dc.relationBachmeier, L. J. y Griffin, J. M. (2006). Testing for market integration crude oil, coal, and natural gas. Energy Journal, 27(2), 55-71. https://econpapers.repec.org/article/aenjournl/2006v27-02-a04.htm
dc.relationBentzen, J. (2007). Does OPEC influence crude oil price? Testing for co-movements and causality between regional crude oil prices. Applied Economics, 39(11), 1375-1385. https://doi.org/10.1080/00036840600606344
dc.relationBritish Petroleum (2017). Statistical Review of World Energy. Londres: BP:
dc.relationCandelon, B., Joëts, M. y Tokpavi, S. (2013). Testing for Granger causality in distribution tails: An application to oil markets integration. Economic Modeling, 31, 276-285. https://doi.org/10.1016/j. econmod.2012.11.049
dc.relationCaporin, M. y McAleer, M. (2013). Ten things you should know about the dynamic conditional correlation representation. Econometrics, 1(1), 115-126. https://doi.org/10.3390/econometrics1010115
dc.relationCollins, D. y Biekpe, N. (2003). Contagion a fear for Africa equity market? Journal of Economics and Business, 55(3), 285-297. https://doi.org/10.1016/S0148-6195(03)00020-1
dc.relationCook, J. (1998). California crude oil [Mimeo]. Recuperado de www.eia.doe.gov/pub/
dc.relationDe Jesús, 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. https://doi.org/10.24275/ETYPUAM/NE
dc.relationDomínguez, R. M., Venegas, F. y Palafox, A. O. (2018). Short-and long-term relations among prices of the Mexican Crude Oil Blend, West Texas Intermediate, and Brent: Market Trend and Risk Premia, 2005-2016. International Journal of Energy Economics and Policy, 8(3), 87-91. https://ideas.repec.org/a/ eco/journ2/2018-03-13.html
dc.relationEnergy Information Administration (2012). International Energy Statistics. Recuperado de https://www. eia.gov/international/data/world
dc.relationEngle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economics Statistics, 20(3), 339-350. https://doi.org/10.1198/073500102288618487
dc.relationEwing, B. T. y Harter, C. L. (2000). Co-movements of Alaska North Slope and UK Brent crude oil prices. Applied Economics Letters, 7(8), 553-558. https://doi.org/10.1080/13504850050033373
dc.relationFattouh, B. (2010). The dynamics of crude oil price differentials. Energy Economics, 32(2), 334-342. https:// doi.org/10.1016/j.eneco.2009.06.007
dc.relationForbes, K. y Rigobon, R. (2002). No contagion, only interdenpendence: measuring stock market comovements. Journal of Finance, 57(5), 2223-2261. https://doi.org/10.1111/0022-1082.00494
dc.relationGülen, S. G. (1997). Regionalization in the world crude oil market. Energy Journal, 18(2), 109-127.
dc.relationGülen, S. G. (1999). Regionalization in the world crude oil market: Further results. Energy Journal, 20(1), 125-139. https://researchers.dellmed.utexas.edu/en/publications/regionalization-in-the-world -crude-oil-market-further-evidence
dc.relationHammoudeh, S., Thompson, M. y Ewing, B. (2008). Threshold cointegration analysis of crude oil benchmarks. Energy Journal, 29(4), 79-95. https://doi.org/10.2307/41323182
dc.relationJia, X., An, H., Fang, W. Sun, X. y Huang, X. (2015). How do correlations of crude oil prices co-move? A grey correlation-based wavelet perspective. Energy Economics, 49, 588-598. https://doi.org/10.1016/j. eneco.2015.03.008
dc.relationJiao, J. L., Fan, Y., Wei, Y. M., Han, Z. Y. y Zhang, J. T. (2007). Analysis of the co-movements between Chinese and International crude oil price. International Journal of Global Energy, 27(1), 61-76.
dc.relationJi, Q. y Fan, Y. (2015). Dynamic integration of world oil prices: A reinvestigation of globalisation vs. regionalization. Applied Energy, 155(1), 171-180. https://www.deepdyve.com/lp/elsevier/ dynamic-integration-of-world-oil-prices-a-reinvestigation-of-Daf3SxZWrD
dc.relationKleit, A.N. (2001). Are regional oil markets growing closer together? An arbitrage cost approach. Energy Journal, 22(2), 1-15. https://doi.org/10.5547/ISSN0195-6574-EJ-Vol22-No2-1
dc.relationKuck, K. y Schweikert, K. (2017). A Markov regime-switching model of crude oil market integration. Journal of Commodity Markets, 6, 16-31. https://doi.org/10.1016/j.jcomm.2017.03.001
dc.relationLanza, A., Manera, M. y McAleer, M. (2006). Modeling dynamic conditional correlations in WTI oil forward and futures returns. Finance Research Letters, 3(2), 114-132. https://doi.org/10.1016/j.frl.2006.01.005
dc.relationLaurent, S., Rombouts, J. V. y Violante, F. (2012). On the forecasting accuracy of multivariate GARCH models. Journal of Applied Econometrics, 27(6), 934-955. https://doi.org/10.1002/jae.1248
dc.relationLi, R. y Leung, G. C. (2011). The integration of China into the world crude oil market since 1998. Energy Policy, 39(9), 5159-5165. https://ideas.repec.org/a/eee/enepol/v39y2011i9p5159-5166.html
dc.relationLiao, H. C., Lin, S. C. y Huang, H. C. (2014). Are crude oil markets globalized or regionalized? Evidence from WTI and Brent. Applied Economics Letters, 21(4), 235-241.
dc.relationLiu, L., Chen, C. y Wan, J. (2013). Is world oil market “one great pool”? An example from China’s and international oil market. Economic Modelling, 35, 364-373. https://doi.org/10.1016/j.econmod.2013.07.027
dc.relationLu, F., Hong, Y., Wang, S. Lai, K. y Liu, J. (2014). Time-varying Granger causality tests for applications in global crude oil markets. Energy Economics, 42, 289-298. https://doi.org/10.1016/j.eneco.2014.01.002
dc.relationMilonas, N. y Henker, T. (2001). Price spread and convenience yield behaviour in the international oil market. Applied Financial Economics, 11(1), 23-36. https://doi.org/10.1080/09603100150210237
dc.relationMontepeque, J. (2005). Sour crude pricing: A pressing global issue. Middle East Economic Survey, 48(14), 1-42.
dc.relationPolitis, D. N. y Romano, J. P. (1994). The stationary bootstrap. Journal of the American Statistical Association, 89(428), 1303-1313. https://doi.org/10.1080/01621459.1994.10476870
dc.relationReboredo, J. C. (2011). How do crude oil prices co-move? A copula approach. Energy Economics, 33(5), 948-955. https://ideas.repec.org/a/eee/eneeco/v33y2011i5p948-955.html
dc.relationRuiz, A. y Anguiano, J. E. (2016). Modelación de las dinámicas, volatilidades e interrelaciones de los rendimientos del petróleo mexicano, BRENT y WTI. Ensayos, Revista de Economía, 2, 175-194. https:// ideas.repec.org/a/ere/journl/vxxxvy2016i2p175-194.html
dc.relationWeiner, R. J. (1991). Is the world oil market one great pool? Energy Journal, 12(3), 95-107. https://pdfs. semanticscholar.org/cf53/f3cd19d2dfc859ada89d740c4910c6fe333e.pdf
dc.relationWilmot, N. A. (2013). Cointegration in the oil market among regional blends. International Journal Energy Economic Policy, 3(4), 424-433. https://experts.umn.edu/en/publications/cointegration-in-the-oil-market -among-regional-blends
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightsCopyright, Universidad Católica de Colombia, 2019
dc.titleIntegración entre mercados de petróleo de diferente calidad con base en las correlaciones condicionales dinámicas
dc.typeArtículo de revista


Este ítem pertenece a la siguiente institución