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A pair-wise analysis of the law of one price: Evidence from the crude oil market

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

Abstract

This paper applies a pairwise approach to investigate the validity of the law of one price in the crude oil markets. Price differentials appear smaller between crude oil pairs with similar physical/chemical characteristics and also for pairs within OPEC.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecolet:v:129:y:2015:i:c:p:39-41
    DOI: 10.1016/j.econlet.2015.02.002
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    References listed on IDEAS

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    1. Hashem Pesaran, M., 2007. "A pair-wise approach to testing for output and growth convergence," Journal of Econometrics, Elsevier, vol. 138(1), pages 312-355, May.
    2. 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.
    3. Stigler, George J & Sherwin, Robert A, 1985. "The Extent of the Market," Journal of Law and Economics, University of Chicago Press, vol. 28(3), pages 555-585, October.
      • Stigler, George J. & Sherwin, Robert A., 1983. "The Extent of the Market," Working Papers 31, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. 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).
    5. Leybourne, S J, 1995. "Testing for Unit Roots Using Forward and Reverse Dickey-Fuller Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(4), pages 559-571, November.
    6. Szymon Wlazlowski & Bjorn Hagstromer & Monica Giulietti, 2011. "Causality in crude oil prices," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3337-3347.
    7. 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.
    8. Kao, Chung-Wei & Wan, Jer-Yuh, 2012. "Price discount, inventories and the distortion of WTI benchmark," Energy Economics, Elsevier, vol. 34(1), pages 117-124.
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    Cited by:

    1. 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.
    2. Nida Cakir Melek & Michael Plante & Mine Yucel, 2021. "Resource Booms and the Macroeconomy: The Case of U.S. Shale Oil," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 307-332, October.
    3. Huang, Shupei & An, Haizhong & Lucey, Brian, 2020. "How do dynamic responses of exchange rates to oil price shocks co-move? From a time-varying perspective," Energy Economics, Elsevier, vol. 86(C).
    4. 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.
    5. Maud Korley & Evangelos Giouvris, 2022. "The Impact of Oil Price and Oil Volatility Index (OVX) on the Exchange Rate in Sub-Saharan Africa: Evidence from Oil Importing/Exporting Countries," Economies, MDPI, vol. 10(11), pages 1-29, November.
    6. Joseph Nyangon & John Byrne & Job Taminiau, 2017. "An assessment of price convergence between natural gas and solar photovoltaic in the U.S. electricity market," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(3), May.

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    More about this item

    Keywords

    Law of one price; Crude oil prices; Product heterogeneity; 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
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • L7 - Industrial Organization - - Industry Studies: Primary Products and Construction

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