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Dynamic Adjustment of Crude Oil Price Spreads

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  • Atanu Ghoshray
  • Tatiana Trifonova

Abstract

This paper examines the dynamic adjustment of crude oil price differentials formed by a wide range of popularly traded crude oils which include non-benchmark crudes of different quality. Recent studies have pointed out the fact that the adjustment of oil price spreads is asymmetric in nature. This paper makes a contribution in many ways. Employing econometric procedures that are more powerful than recently applied methods, and on a much wider selection of crude oil pairs than previous studies we establish that the results obtained for price differentials between benchmark crudes are not representative of the behaviour of nonbenchmark pairs. Further, our results show that the adjustment of price differentials cannot be fully explained by the quality differentials which are commonly approximated by the difference in API gravity. Finally, we find that short run and long run dynamics do not show a pattern that could be linked to quality differentials.

Suggested Citation

  • Atanu Ghoshray & Tatiana Trifonova, 2014. "Dynamic Adjustment of Crude Oil Price Spreads," The Energy Journal, , vol. 35(1), pages 119-139, January.
  • Handle: RePEc:sae:enejou:v:35:y:2014:i:1:p:119-139
    DOI: 10.5547/01956574.35.1.7
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    1. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    2. Andrew N. Kleit, 2001. "Are Regional Oil Markets Growing Closer Together?: An Arbitrage Cost Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-15.
    3. Hammoudeh, Shawkat & Dibooglu, Sel & Aleisa, Eisa, 2004. "Relationships among U.S. oil prices and oil industry equity indices," International Review of Economics & Finance, Elsevier, vol. 13(4), pages 427-453.
    4. 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.
    5. Hammoudeh, Shawkat & Li, Huimin, 2004. "The impact of the Asian crisis on the behavior of US and international petroleum prices," Energy Economics, Elsevier, vol. 26(1), pages 135-160, January.
    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. James D. Hamilton, 2009. "Understanding Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 179-206.
    8. Bradley Ewing & Cynthia Lay Harter, 2000. "Co-movements of Alaska North Slope and UK Brent crude oil prices," Applied Economics Letters, Taylor & Francis Journals, vol. 7(8), pages 553-558.
    9. Mohamed AROURI & Christophe RAULT, 2009. "On the Influence of Oil Prices on Stock Markets: Evidence from Panel Analysis in GCC Countries," LEO Working Papers / DR LEO 1299, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    10. Jan Bentzen, 2007. "Does OPEC influence crude oil prices? Testing for co-movements and causality between regional crude oil prices," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1375-1385.
    11. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
    12. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    13. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    14. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    15. 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.
    16. Fattouh, Bassam, 2010. "The dynamics of crude oil price differentials," Energy Economics, Elsevier, vol. 32(2), pages 334-342, March.
    17. Cook, Steven, 2003. "Modified unit root tests and momentum threshold autoregressive processes," Statistics & Probability Letters, Elsevier, vol. 64(1), pages 83-88, August.
    18. S. Gurcan Gulen, 1997. "Regionalization in the World Crude Oil Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 109-126.
    19. Lance J. Bachmeier & James M. Griffin, 2006. "Testing for Market Integration: Crude Oil, Coal, and Natural Gas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 55-72.
    20. M. A. Adelman, 1984. "International Oil Agreements," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-10.
    21. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    22. Shawkat Hammoudeh & Li-Hsueh Chen & Bassam Fattouh, 2010. "Asymmetric Adjustments in Oil and Metals Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 183-204.
    23. Weiner, R.J., 1991. "Is the World Oil Market "One Great Pool?"," Papers 9120, Laval - Recherche en Energie.
    24. 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.
    25. S. Gurcan Gulen, 1999. "Regionalization in the World Crude Oil Market: Further Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 125-139.
    26. Cook, Steven, 2004. "A momentum-threshold autoregressive unit root test with increased power," Statistics & Probability Letters, Elsevier, vol. 67(4), pages 307-310, May.
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    Cited by:

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    2. 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.
    3. 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.
    4. Chen, Yu-Fu & Mu, Xiaoyi, 2021. "Asymmetric volatility in commodity markets," Journal of Commodity Markets, Elsevier, vol. 22(C).
    5. Bravo Caro, José Manuel & Golpe, Antonio A. & Iglesias, Jesús & Vides, José Carlos, 2020. "A new way of measuring the WTI – Brent spread. Globalization, shock persistence and common trends," Energy Economics, Elsevier, vol. 85(C).
    6. Giulietti, Monica & Iregui, Ana María & Otero, Jesús, 2014. "Crude oil price differentials, product heterogeneity and institutional arrangements," Energy Economics, Elsevier, vol. 46(S1), pages 28-32.

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    More about this item

    Keywords

    Crude Oil; Dynamic Adjustment; Momentum Threshold Autoregression;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

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