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Closer to One Great Pool? Evidence from Structural Breaks in Oil Price Differentials

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  • Michael Plante and Grant Strickler

Abstract

We show that the oil market has become closer to 'one great pool,' in the sense that price differentials between crude oils of different qualities have generally become smaller over time. We document, in particular, that many of these price differentials experienced a major structural break in or around 2008, after which there was a marked reduction in their means and volatilities. Differentials between residual fuel oil, a low-quality fuel, and higher-valued products, such as gasoline and diesel, experienced similar breaks during the same time period. A growing ability of the global refinery sector to process lower-quality crude oil and the U.S. shale boom, which has unexpectedly boosted the supply of high-quality crude oil, are two factors consistent with these changes. Differentials between crude oils of similar quality in general did not experience breaks in or around 2008, although we do find evidence of breaks at other times.

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  • Michael Plante and Grant Strickler, 2021. "Closer to One Great Pool? Evidence from Structural Breaks in Oil Price Differentials," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-30.
    • Handle: RePEc:aen:journl:ej42-2-plante
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    1. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    2. M. A. Adelman, 1984. "International Oil Agreements," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-10.
    3. Severin Borenstein and Ryan Kellogg, 2014. "The Incidence of an Oil Glut: Who Benefits from Cheap Crude Oil in the Midwest?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    4. Giulietti, Monica & Iregui, Ana María & Otero, Jesús, 2015. "A pair-wise analysis of the law of one price: Evidence from the crude oil market," Economics Letters, Elsevier, vol. 129(C), pages 39-41.
    5. Taylor, Alan M, 2001. "Potential Pitfalls for the Purchasing-Power-Parity Puzzle? Sampling and Specification Biases in Mean-Reversion Tests of the Law of One Price," Econometrica, Econometric Society, vol. 69(2), pages 473-498, March.
    6. Bahattin Buyuksahin, Thomas K. Lee, James T. Moser, and Michel A. Robe, 2013. "Physical Markets, Paper Markets and the WTI-Brent Spread," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    7. Shawkat M. Hammoudeh & Bradley T. Ewing & Mark A. Thompson, 2008. "Threshold Cointegration Analysis of Crude Oil Benchmarks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 79-96.
    8. Atanu Ghoshray and Tatiana Trifonova, 2014. "Dynamic Adjustment of Crude Oil Price Spreads," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    9. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    10. Fattouh, Bassam, 2010. "The dynamics of crude oil price differentials," Energy Economics, Elsevier, vol. 32(2), pages 334-342, March.
    11. Robert J. Weiner, 1991. "Is the World Oil Market "One Great Pool"?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 95-108.
    12. Douglas G. Sauer, 1994. "Measuring Economic Markets for Imported Crude Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 107-124.
    13. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    14. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    15. Scheitrum, Daniel P. & Carter, Colin A. & Revoredo-Giha, Cesar, 2018. "WTI and Brent futures pricing structure," Energy Economics, Elsevier, vol. 72(C), pages 462-469.
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    Cited by:

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    2. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    3. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    4. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
    5. Michail Filippidis & George Filis & Georgios Magkonis & Panagiotis Tzouvanas, 2023. "Evaluating robust determinants of the WTI/Brent oil price differential: A dynamic model averaging analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 807-825, June.
    6. Zhang, Yue-Jun & Zhang, Han, 2023. "Volatility forecasting of crude oil futures market: Which structural change-based HAR models have better performance?," International Review of Financial Analysis, Elsevier, vol. 85(C).

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