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Dynamic Interrelationship between Major Crude Oil Prices: Estimation by Multiple Sub-Periods regarding Key Global Events and Time-varying Coefficient

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The aim of this paper is to investigate dynamic interrelationship between four major crude oil prices, Western Texas Intermediate, Brent, Dubai, and Oman, by multiple sub-periods analysis as well as time-varying coefficient from January 1, 2007 to December 31, 2019.The multiple sub-periods are quantitatively constructed by the structural breakpoints identification method and then qualitatively justified by matching those with key economic and political events. GARCH family models, such as an extended GARCH (1,1) and Diagonal BEKK-GARCH model find that (1) volatility spillover and correlations between the selected four crude prices, in general, varied over time, (2) Dubai prices tended to be followed by all other prices over the years, (3) Prediction of oil prices became harder for the Asian crude oil markets, such as, Dubai and Oman, than for the Western markets during the sub-period in which the Arab springs events were involved. These findings shed light on the features of the major crudes oil prices interrelationship for the recent 15 years.


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How to cite:

Choi, S. (2021). Dynamic interrelationship between major crude oil prices with consideration of different sub-periods regarding key events. Journal of Applied Economic Sciences, Volume XVI, Spring, 1(71): 21 – 31. https://doi.org/10.57017/jaes.v16.1(71).02

References:

[1]    Al-Fattah, S. 2020. Non-OPEC conventional oil: Production decline, supply outlook and key implications. Journal of Petroleum Science and Engineering.189: 107049. DOI:10.1016/j.petrol.2020.107049

[2]    Andriosopoulos, K., Galariotis, E., and Spyrou, S. 2017. Contagion, volatility persistence, and volatility spillovers: The case of energy markets during the European financial crisis. Energy Economics, 66: 217–227. https://doi.org/10.1016/j.eneco.2017.06.023

[3]    Asche, F., Oglend, A., and Osmundsen, P. 2012. Gas versus oil prices: The impact of shale gas. Energy Policy, 47: 117-124. https://doi.org/10.1016/j.enpol.2012.04.033

[4]    Awartani, B., and Maghyereh, A. 2013. Dynamic spillovers between oil and stock markets in the Gulf cooperation council countries. Energy Economics, 36: 28–42. https://doi.org/10.1016/j.eneco.2012.11.024

[5]    Bai, J., and Perron, P. 2003. Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1): 1-22. https://doi.org/10.1002/jae.659

[6]    Boldanov, R., Degiannakis, S., Filis, G. 2016. Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries. International Review of Financial Analysis. 48: 209-220. https://doi.org/10.1016/j.irfa.2016.10.002

[7]    Caporin, M., Fontini, F., Talebbeydokhti, E. 2019. Testing persistence of WTI and Brent long-run relationship after the shale oil supply shock. Energy Economics, 79(C): 21-31. DOI: 10.1016/j.eneco.2018.08.022

[8]    Chang, C., McAleer, M., and Tansuchat, R. 2010. Analyzing and forecasting volatility spillover, asymmetries and hedging in major oil markets. Energy Economics. 32(6): 1445–1455. https://doi.org/10.1016/j.eneco.2010.04.014

[9]    Ewing, B., Malik, F., and Ozfidan, O. 2002. Volatility transmission in the oil and natural gas markets. Energy Economics, 24(6): 525-538. DOI: 10.1016/S0140-9883(02)00060-9

[10]  Erdos, P. 2012. Have oil and gas prices got separated? Energy Policy, 49: 707-718. DOI: 10.1016/j.enpol.2012.07.022

[11]  Fattouh, B. 2007. The drivers of oil prices: The usefulness and limitations of non-structural models, supply-demanframworks, and informal approaches, European Investment Bank (EIB) Papers, Luxembourg, 12(1): 128–156.

[12]  Geng, J., Ji, Q., and Fan, Y. 2016. The impact of the North American shale gas revolution on regional natural gas markets: Evidence from the regime-switching model. Energy Policy, 96: 167-178. DOI: 10.1016/j.enpol.2016.05.047

[13]  Hamilton, J. 2009. Understanding Crude Oil Prices. Energy Journal, 30(2): 179–206.

[14]  Jati, K., and Premaratne, G. 2017. Analysis of staple food price behavior: Multivariate BEKK-GARCH model, Journal of Asian Finance, Economics, and Business, 4(4): 27-37.

[15]  Ji, Q., Liu, B., Zhao, W., and Fan, Y. 2020. Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS. International Review of Financial Analysis, 68: 101-238. https://doi.org/10.1016/j.irfa.2018.08.002

[16]  Kaufmann, R., Ullman, B. 2009. Oil prices, speculation, and fundamentals: Interpreting causal relations among spot and futures prices. Energy Economics, 31(4): 550–558. https://doi.org/10.1016/j.eneco.2009.01.013

[17]  Karali, B., and Ramirez, O. 2014. Macro determinants of volatility and volatility spillover in energy markets. Energy Economics, 46: 413–421. https://doi.org/10.1016/j.eneco.2014.06.004

[18]  Katircioglu, S., Sertoglu, K., Candemir, M., and Mercan, M. 2015. Oil price movements and macroeconomic performance: Evidence from twenty-six OECD countries. Renewable and Sustainable Energy Reviews, 44: 257-270. https://doi.org/10.1016/j.rser.2014.12.016

[19]  Knittel, C., and Pindyck, R. 2016. The simple economics of commodity price speculation. American Economic Journal: Macroeconomics, 8(2): 85–110. 

[20]  Lee, D. 2018. Analysis of the problems of and alternatives to the Asian marker crude oil, Korean Energy Economics Institute Basic Research Papers. Available at:  http://www.keei.re.kr/main.nsf/index_en.html

[21]  Lin, S., and Tamvakis, M. 2001. Spillover effects in energy futures markets. Energy Economics, 23: 43–56. https://doi.org/10.1016/S0140-9883(00)00051-7

[22]  Maraqa, B., and Bein, M. 2020. Dynamic interrelationship and volatility spillover among sustainability stock markets, major European conventional indices, and international crude oil. Sustainability, 12(9): 3908. DOI: 10.3390/su12093908

[23]  Mensi, W., Hammoudeh, S., Nguyen, D., and Yoon, S. 2014. Dynamic spillovers among major energy and cereal commodity prices. Energy Economics, 43: 225-243. DOI: 10.1016/j.eneco.2014.03.004

[24]  Mensi, W., Hammoudeh, S., and Yoon, S. 2015. Structural breaks, dynamic correlations, asymmetric volatility transmission, and hedging strategies for petroleum prices and USD exchange rate. Energy Economics, 48: 46–60. https://doi.org/10.1016/j.eneco.2014.12.004

[25]  Perifanis, T., and Dagoumas, A. 2018. Price and volatility spillovers between the US crude oil and natural gas wholesale markets. Energies, 11(10): 2757. https://doi.org/10.3390/en11102757

[26]  Ratti, R., and Vespignani, J. 2013. Why are crude oil prices high when global activity is weak? Economics Letters, 121(1): 133–136. https://doi.org/10.1016/j.econlet.2013.07.002

[27]  Salisu, A., and Oloko, T. 2015. Modelling oil price-US stock nexus: A VARMA-BEKK-AGARCH approach. Energy Economics, 50(C): 1-12. DOI: 10.1016/j.eneco.2015.03.031

[28]  Till, H. 2015. When has OPEC spare capacity mattered for oil prices? EDHEC Business School Working Paper, Available at: https://risk.edhec.edu/publications/when-has-opec-spare-capacity-mattered-oil

[29]  Venditti, F., and Veronese, G. 2020. Global financial markets and oil price shocks in real time. European Central Bank Working Paper Series, no. 2472. Available at: https://www.ecb.europa.eu/pub/research/ working-papers/html/index.en.html.

[30]  Youssef, M., and Monki, K. 2019. Do crude oil prices drive relationship between stock markets of oil-importing and oil-exporting countries? Economies, 7(3): 70. http://doi.org/10.3390/economies7030070