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Long run dynamic volatilities between OPEC and non-OPEC crude oil prices

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  • Ghassan, Hassan Belkacem
  • AlHajhoj, Hassan Rafdan

Abstract

Understanding the long-run dynamics of OPEC and non-OPEC crude oil prices is important in an era of increased financialization of petroleum markets. Utilizing an ECM within a threshold cointegration and CGARCH errors framework, we provide evidence on the cointegrating relationship and estimate how and to what extent the respective prices adjust to eliminate disequilibrium. Our findings suggest that the adjustment process of OPEC prices to the positive discrepancies is slow which implies that OPEC producers do not prefer moderate oil prices; however, the reverse holds for non-OPEC producers. These results reflect distinct competitive behaviors between OPEC and non-OPEC producers.

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  • Ghassan, Hassan Belkacem & AlHajhoj, Hassan Rafdan, 2016. "Long run dynamic volatilities between OPEC and non-OPEC crude oil prices," Applied Energy, Elsevier, vol. 169(C), pages 384-394.
  • Handle: RePEc:eee:appene:v:169:y:2016:i:c:p:384-394
    DOI: 10.1016/j.apenergy.2016.02.057
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    2. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
    3. Gil-Alana, Luis A. & Dadgar, Yadollah & Nazari, Rouhollah, 2020. "An analysis of the OPEC and non-OPEC position in the World Oil Market: A fractionally integrated approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    4. Jiang, Meihui & An, Haizhong & Jia, Xiaoliang & Sun, Xiaoqi, 2017. "The influence of global benchmark oil prices on the regional oil spot market in multi-period evolution," Energy, Elsevier, vol. 118(C), pages 742-752.
    5. Ghassan, Hassan B. & Al-Jefri, Essam H., 2016. "الحساب الجاري للاقتصاد السعودي عبر نموذج داخلي الزمن دلائل من منهجية نموذج التقهقر الذاتي البنيوي [The Current Account of Saudi Economy through Intertemporal Model: Evidence from SVAR]," MPRA Paper 80302, University Library of Munich, Germany, revised Jun 2017.
    6. Restrepo, Natalia & Uribe, Jorge M. & Manotas, Diego, 2018. "Financial risk network architecture of energy firms," Applied Energy, Elsevier, vol. 215(C), pages 630-642.
    7. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
    8. Motunrayo O AKINSOLA & NM ODHIAMBO, 2020. "Oil Price And Economic Growth Of Oil-Importing Countries: A Review Of International Literature," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 20(1), pages 129-140.
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    More about this item

    Keywords

    Dynamic volatility; Threshold cointegration; Component GARCH; OPEC; Oil prices;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E39 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Other
    • F53 - International Economics - - International Relations, National Security, and International Political Economy - - - International Agreements and Observance; International Organizations
    • F69 - International Economics - - Economic Impacts of Globalization - - - Other

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