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A Model for the Global Crude Oil Market Using a Multi-Pool MCP Approach

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  • Daniel Huppmann
  • Franziska Holz

Abstract

This paper proposes a partial equilibrium model to describe the global crude oil market. Pricing on the global crude oil market is strongly influenced by price indices such as WTI (USA) and Brent (Northwest Europe). Adapting an approach for pool-based electricity markets, the model captures the particularities of these benchmark price indices and their influence on the market of physical oil. This approach is compared to a model with bilateral trade relations as is traditionally used in models of energy markets. With these two model approaches, we compute the equilibrium solutions for several market power scenarios to investigate whether the multi-pool approach may be better suited than the bilateral trade model to describe the crude oil market. The pool-based approach yields, in general, results closer to observed quantities and prices, with the best fit obtained by the scenario of an OPEC oligopoly. We conclude that the price indices indeed are important on the global crude market in determining the prices and flows, and that OPEC effectively exerts market power, but in a non-cooperative way.

Suggested Citation

  • Daniel Huppmann & Franziska Holz, 2009. "A Model for the Global Crude Oil Market Using a Multi-Pool MCP Approach," Discussion Papers of DIW Berlin 869, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp869
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.96394.de/dp869.pdf
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    Citations

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    Cited by:

    1. Aune, Finn Roar & Grimsrud, Kristine & Lindholt, Lars & Rosendahl, Knut Einar & Storrøsten, Halvor Briseid, 2017. "Oil consumption subsidy removal in OPEC and other Non-OECD countries: Oil market impacts and welfare effects," Energy Economics, Elsevier, vol. 68(C), pages 395-409.
    2. Clemens Haftendorn & Franziska Holz & Christian von Hirschhausen, 2010. "COALMOD-World: A Model to Assess International Coal Markets until 2030," Discussion Papers of DIW Berlin 1067, DIW Berlin, German Institute for Economic Research.
    3. Finn Roar Aune & Ann Christin Bøeng & Snorre Kverndokk & Lars Lindholt & Knut Einar Rosendahl, 2017. "Fuel Efficiency Improvements: Feedback Mechanisms and Distributional Effects in the Oil Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(1), pages 15-45, September.
    4. Egging-Bratseth, Ruud & Baltensperger, Tobias & Tomasgard, Asgeir, 2020. "Solving oligopolistic equilibrium problems with convex optimization," European Journal of Operational Research, Elsevier, vol. 284(1), pages 44-52.
    5. Egging, Ruud, 2013. "Benders Decomposition for multi-stage stochastic mixed complementarity problems – Applied to a global natural gas market model," European Journal of Operational Research, Elsevier, vol. 226(2), pages 341-353.
    6. Ibrahim A. Onour, 2016. "Can OPEC Cartel Reverse Crude Oil Price Downfall?," International Journal of World Policy and Development Studies, Academic Research Publishing Group, vol. 2(12), pages 90-93, 12-2016.

    More about this item

    Keywords

    crude oil; market structure; cartel; pool market; simulation model;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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