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Explaining the so‐called “price premium” in oil markets

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  • Antonio Merino
  • Álvaro Ortiz

Abstract

This paper explores the information content of several variables on the so‐called “oil price premium over fundamentals”. We define this premium as the difference between the market oil price and the estimated price consistent with the OECD's relative industry stock level. By using Granger causality tests and extended regressions we test the systematic ability of a broad set of variables to explain the premium. We find that speculation in the oil market — measured by non‐commercial long positions — can improve the traditional model, reducing the premium significantly during some parts of the sample.

Suggested Citation

  • Antonio Merino & Álvaro Ortiz, 2005. "Explaining the so‐called “price premium” in oil markets," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 29(2), pages 133-152, June.
    • Handle: RePEc:bla:opecrv:v:29:y:2005:i:2:p:133-152
    DOI: 10.1111/j.0277-0180.2005.00148.x
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    1. Roll, Richard, 1984. "Orange Juice and Weather," American Economic Review, American Economic Association, vol. 74(5), pages 861-880, December.
    2. Timothy J. Considine & Donald F. Larson, 2001. "Risk premiums on inventory assets: the case of crude oil and natural gas," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(2), pages 109-126, February.
    3. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
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    Cited by:

    1. Shalizi, Zmarak, 2007. "Energy and emissions : local and global effects of the rise of China and India," Policy Research Working Paper Series 4209, The World Bank.
    2. Henry Egbezien Inegbedion & Emmanuel Inegbedion & Eseosa Obadiaru & Abiola Asaleye, 2020. "Petroleum Subsidy Withdrawal, Fuel Price Hikes and the Nigerian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 258-265.
    3. Cavalcante, Mileno, 2010. "An Analysis of the relationship between WTI term structure and oil market fundamentals in 2002-2009," MPRA Paper 24263, University Library of Munich, Germany.
    4. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    5. Frankel, Jeffrey A., 2014. "Effects of speculation and interest rates in a “carry trade” model of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 88-112.
    6. Kyle E. Binder & Mohsen Pourahmadi & James W. Mjelde, 2020. "The role of temporal dependence in factor selection and forecasting oil prices," Empirical Economics, Springer, vol. 58(3), pages 1185-1223, March.
    7. Claudio Dicembrino & Pasquale Lucio Scandizzo, 2012. "The Fundamental and Speculative Components of the Oil Spot Price: A Real Option Value Approach," CEIS Research Paper 229, Tor Vergata University, CEIS, revised 18 Apr 2012.
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    9. Chevillon, Guillaume & Rifflart, Christine, 2009. "Physical market determinants of the price of crude oil and the market premium," Energy Economics, Elsevier, vol. 31(4), pages 537-549, July.
    10. Scarpa, Elisa & Longo, Chiara & Manera, Matteo & Markandya, Anil, 2007. "Evaluating the Empirical Performance of Alternative Econometric Models for Oil Price Forecasting," International Energy Markets Working Papers 12118, Fondazione Eni Enrico Mattei (FEEM).
    11. Qadan, Mahmoud & Nama, Hazar, 2018. "Investor sentiment and the price of oil," Energy Economics, Elsevier, vol. 69(C), pages 42-58.
    12. Giliola Frey & Matteo Manera & Anil Markandya & Elisa Scarpa, 2009. "Econometric Models for Oil Price Forecasting: A Critical Survey," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(1), pages 29-44, April.
    13. Latife Ghalayini, 2017. "Modeling and forecasting spot oil price," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 355-373, December.
    14. Fabian Lutzenberger & Benedikt Gleich & Herbert G. Mayer & Christian Stepanek & Andreas W. Rathgeber, 2017. "Metals: resources or financial assets? A multivariate cross-sectional analysis," Empirical Economics, Springer, vol. 53(3), pages 927-958, November.
    15. Nademi, Arash & Nademi, Younes, 2018. "Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases," Energy Economics, Elsevier, vol. 74(C), pages 757-766.
    16. Clostermann, Jörg & Keis, Nikolaus & Seitz, Franz, 2010. "Short-term oil models before and during the financial market crisis," Arbeitsberichte – Working Papers 18, Technische Hochschule Ingolstadt (THI).
    17. Giliola Frey & Matteo Manera & Anil Markandya & Elisa Scarpa, 2009. "Econometric Models for Oil Price Forecasting: A Critical Survey," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(01), pages 29-44, April.
    18. Martina, Esteban & Rodriguez, Eduardo & Escarela-Perez, Rafael & Alvarez-Ramirez, Jose, 2011. "Multiscale entropy analysis of crude oil price dynamics," Energy Economics, Elsevier, vol. 33(5), pages 936-947, September.
    19. de Souza e Silva, Edmundo G. & Legey, Luiz F.L. & de Souza e Silva, Edmundo A., 2010. "Forecasting oil price trends using wavelets and hidden Markov models," Energy Economics, Elsevier, vol. 32(6), pages 1507-1519, November.
    20. repec:bla:opecrv:v:34:y:2010:i:1:p:25-41 is not listed on IDEAS
    21. He, Yanan & Wang, Shouyang & Lai, Kin Keung, 2010. "Global economic activity and crude oil prices: A cointegration analysis," Energy Economics, Elsevier, vol. 32(4), pages 868-876, July.

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