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WTI and Brent futures pricing structure

Author

Listed:
  • Scheitrum, Daniel P.
  • Carter, Colin A.
  • Revoredo-Giha, Cesar

Abstract

WTI and Brent crude oil futures are competing pricing benchmarks and they jockey for the number one position as the leading futures market. The price spread between WTI and Brent is also an important benchmark itself as the spread affects international trade in oil, refiner margins, and the price of refined products globally. In addition, the shapes of the WTI and Brent futures curves reflect supply and demand fundamentals in the U.S. versus the world market, respectively.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:eneeco:v:72:y:2018:i:c:p:462-469
    DOI: 10.1016/j.eneco.2018.04.039
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    References listed on IDEAS

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    1. Lutz Kilian, 2016. "The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 185-205.
    2. Bahattin Büyük şahin & Thomas K. Lee & James T. Moser & Michel A. Robe, 2013. "Physical Markets, Paper Markets and the WTI-Brent Spread," The Energy Journal, , vol. 34(3), pages 129-152, July.
    3. Alquist, Ron & Guénette, Justin-Damien, 2014. "A blessing in disguise: The implications of high global oil prices for the North American market," Energy Policy, Elsevier, vol. 64(C), pages 49-57.
    4. Fattouh, Bassam, 2010. "The dynamics of crude oil price differentials," Energy Economics, Elsevier, vol. 32(2), pages 334-342, March.
    5. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(1), pages 1-23.
    6. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    7. Chen, Wei & Huang, Zhuo & Yi, Yanping, 2015. "Is there a structural change in the persistence of WTI–Brent oil price spreads in the post-2010 period?," Economic Modelling, Elsevier, vol. 50(C), pages 64-71.
    8. Shiva S. Makki & Luther G. Tweeten & Mario J. Miranda, 1996. "Wheat Storage and Trade in an Efficient Global Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 879-890.
    9. Miranda, Mario J. & Glauber, Joseph W., 1995. "Solving Stochastic Models of Competitive Storage and Trade by Chebychev Collocation Methods," Agricultural and Resource Economics Review, Cambridge University Press, vol. 24(1), pages 70-77, April.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Gregory, Allan W & Hansen, Bruce E, 1996. "Tests for Cointegration in Models with Regime and Trend Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 555-560, August.
    12. Deaton, Angus & Laroque, Guy, 1996. "Competitive Storage and Commodity Price Dynamics," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 896-923, October.
    13. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    14. Brian D. Wright & Jeffrey C. Williams, 1982. "The Roles of Public and Private Storage in Managing Oil Import Disruptions," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 341-353, Autumn.
    15. Gustafson, Robert L., 1958. "Carryover levels for grains: A method for determining amounts that are optimal under specified conditions," Technical Bulletins 157231, United States Department of Agriculture, Economic Research Service.
    16. Ye, Shiyu & Karali, Berna, 2016. "Estimating relative price impact: The case of Brent and WTI," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235728, Agricultural and Applied Economics Association.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Crude oil futures; Commodity storage; WTI; Brent; Competitive storage model;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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