IDEAS home Printed from https://ideas.repec.org/a/wsi/afexxx/v13y2018i04ns2010495218500185.html
   My bibliography  Save this article

U.S. Diesel Fuel Price Responses To The Global Crude Oil Supply And Demand

Author

Listed:
  • BAHRAM ADRANGI

    (W.E. Nelson Professor of Financial Economics, University of Portland, 5000 N. Willamette Blvd., Portland 97203, Oregon)

  • ARJUN CHATRATH

    () (Schulte Professor of Finance, University of Portland, 5000 N. Willamette Blvd., Portland 97203, Oregon)

  • JOSEPH MACRI

    () (Department of Economics, Macquarie University, Sydney 2109, Australia)

  • KAMBIZ RAFFIEE

    () (Foundation Professor of Economics, College of Business University of Nevada, Reno 89557, Nevada)

Abstract

The objective of this study is to examine the monthly movements of U.S. diesel price for the period 1974–2017. We argue that the diesel price may be responsive to crude oil market fundamentals. The model employed includes the global demand and supply for crude oil, in addition to the inventory of crude oil and the level of industrial production for the U.S. The Structural Vector Autoregressive formulation and the Vector Error Correction model suggest that global demand shocks to crude oil, including the inventory of crude oil in the U.S. are primarily responsible for diesel price movements in the U.S., accounting for up to 30–70% of its variation.

Suggested Citation

  • Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2018. "U.S. Diesel Fuel Price Responses To The Global Crude Oil Supply And Demand," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-25, December.
  • Handle: RePEc:wsi:afexxx:v:13:y:2018:i:04:n:s2010495218500185
    DOI: 10.1142/S2010495218500185
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2010495218500185
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Karagiannis, Stelios & Panagopoulos, Yannis & Vlamis, Prodromos, 2015. "Are unleaded gasoline and diesel price adjustments symmetric? A comparison of the four largest EU retail fuel markets," Economic Modelling, Elsevier, vol. 48(C), pages 281-291.
    3. Christopher A. Sims, 1989. "Models and Their Uses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 489-494.
    4. Fosten, Jack, 2012. "Rising household diesel consumption in the United States: A cause for concern? Evidence on asymmetric pricing," Energy Economics, Elsevier, vol. 34(5), pages 1514-1522.
    5. Lutz Kilian & Cheolbeom Park, 2009. "The Impact Of Oil Price Shocks On The U.S. Stock Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1267-1287, November.
    6. Chou, Kuo-Wei & Tseng, Yi-Heng, 2016. "Oil prices, exchange rate, and the price asymmetry in the Taiwanese retail gasoline market," Economic Modelling, Elsevier, vol. 52(PB), pages 733-741.
    7. Asane-Otoo, Emmanuel & Schneider, Jan, 2015. "Retail fuel price adjustment in Germany: A threshold cointegration approach," Energy Policy, Elsevier, vol. 78(C), pages 1-10.
    8. Valadkhani, Abbas & Smyth, Russell & Vahid, Farshid, 2015. "Asymmetric pricing of diesel at its source," Energy Economics, Elsevier, vol. 52(PA), pages 183-194.
    9. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "OPEC and non-OPEC oil production and the global economy," Energy Economics, Elsevier, vol. 50(C), pages 364-378.
    10. repec:eee:joecas:v:13:y:2016:i:c:p:89-99 is not listed on IDEAS
    11. Olivier Lamotte & Thomas Porcher & Christophe Schalck & Stephan Silvestre, 2013. "Asymmetric gasoline price responses in France," Applied Economics Letters, Taylor & Francis Journals, vol. 20(5), pages 457-461, March.
    12. Fardous Alom & Neil Ritson, 2012. "Asymmetric adjustment of diesel or petrol retail prices to crude oil price movements: New Zealand evidence," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 36(2), pages 230-245, June.
    13. Lance J. Bachmeier & James M. Griffin, 2003. "New Evidence on Asymmetric Gasoline Price Responses," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
    14. Adrangi, Bahram & Chatrath, Arjun & Raffiee, Kambiz & D. Ripple, Ronald, 2001. "Alaska North Slope crude oil price and the behavior of diesel prices in California," Energy Economics, Elsevier, vol. 23(1), pages 29-42, January.
    15. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    16. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, Oxford University Press, vol. 112(1), pages 305-339.
    17. Chen, Li-Hsueh & Finney, Miles & Lai, Kon S., 2005. "A threshold cointegration analysis of asymmetric price transmission from crude oil to gasoline prices," Economics Letters, Elsevier, vol. 89(2), pages 233-239, November.
    18. Honarvar, Afshin, 2009. "Asymmetry in retail gasoline and crude oil price movements in the United States: An application of hidden cointegration technique," Energy Economics, Elsevier, vol. 31(3), pages 395-402, May.
    19. Meyler, Aidan, 2009. "The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices," Energy Economics, Elsevier, vol. 31(6), pages 867-881, November.
    20. West, Kenneth D, 1988. "Asymptotic Normality, When Regressors Have a Unit Root," Econometrica, Econometric Society, vol. 56(6), pages 1397-1417, November.
    21. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    22. Rahman, Sajjadur, 2016. "Another perspective on gasoline price responses to crude oil price changes," Energy Economics, Elsevier, vol. 55(C), pages 10-18.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:afexxx:v:13:y:2018:i:04:n:s2010495218500185. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tai Tone Lim). General contact details of provider: http://www.worldscinet.com/afe/afe.shtml .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.