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Crude oil price differentials, product heterogeneity and institutional arrangements

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  • Giulietti, Monica
  • Iregui, Ana María
  • Otero, Jesús

Abstract

We adopt time-series and cross-section methods to analyse long-term relationships between pairs of crude oil prices and assess how physical and institutional factors affect their speed of reaction to exogenous shocks. Using a methodological approach which does not require identifying specific crudes as benchmarks, we show that the overwhelming majority of prices have stable long term relationships. We also find that crudes with physical similarity converge quickly after a shock, while prices for oil produced in OPEC countries are relatively slow to revert to equilibrium after a shock.

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  • 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.
    • Handle: RePEc:eee:eneeco:v:46:y:2014:i:s1:p:s28-s32
    DOI: 10.1016/j.eneco.2014.10.006
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    Cited by:

    1. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    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. Otero, Jesús & Argüello, Ricardo & Oviedo, Juan Daniel & Ramírez, Manuel, 2018. "Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach," Economic Modelling, Elsevier, vol. 72(C), pages 190-201.
    4. Yazgan, M. Ege & Yilmazkuday, Hakan, 2011. "Price-level convergence: New evidence from U.S. cities," Economics Letters, Elsevier, vol. 110(2), pages 76-78, February.
    5. Christopher F Baum & Andrés Garcia-Suaza & Miguel Henry & Jesús Otero, 2024. "Drivers of COVID-19 in U.S. counties: A wave-level analysis," Boston College Working Papers in Economics 1067, Boston College Department of Economics.
    6. Gao, Xin & Li, Bingxin & Liu, Rui, 2023. "The relative pricing of WTI and Brent crude oil futures: Expectations or risk premia?," Journal of Commodity Markets, Elsevier, vol. 30(C).
    7. Jia, Xiaoliang & An, Haizhong & Sun, Xiaoqi & Huang, Xuan & Wang, Lijun, 2017. "Evolution of world crude oil market integration and diversification: A wavelet-based complex network perspective," Applied Energy, Elsevier, vol. 185(P2), pages 1788-1798.
    8. Swaray, Raymond & Salisu, Afees A., 2018. "A firm-level analysis of the upstream-downstream dichotomy in the oil-stock nexus," Global Finance Journal, Elsevier, vol. 37(C), pages 199-218.
    9. Raymond Swaray & Afees A. Salisu, 2017. "The impact of crude oil prices on stock prices of oil firms: Should upstream-downstream dichotomy in supply chain be ignored?," Working Papers 021, Centre for Econometric and Allied Research, University of Ibadan.
    10. 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).

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    More about this item

    Keywords

    Crude oil prices; Dynamic adjustment; Cross-section analysis;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • L7 - Industrial Organization - - Industry Studies: Primary Products and Construction

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