IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10426.html
   My bibliography  Save this paper

Equity, Commodity, and Distillate Risk for Oil Upstream Producers and Downstream Consumers

Author

Listed:
  • Scott Alan Carson
  • Scott A. Carson

Abstract

The oil and gas industry’s role in economic activity is hard to overstate. This study considers upstream, midstream, and downstream oil producer returns and risk compared to downstream oil consumers in airlines, ground-freight, railroads, and tire manufacturing. Between 2000 and 2020, the oil and gas industry had the lowest expected returns, greater risk, and only Integrated producer returns approached downstream oil and gas consumer risk-return profiles. Railroad companies were the least risky with the highest returns, followed by tire manufacturers, airlines, and freight companies. Equity, commodity, and distillate markets positively price risk into oil and gas producer returns, and upstream producers had greater project and equity market risk than downstream consumers. Most downstream oil consumer equity returns are positively related to equity and commodity market risk, while a few downstream commercial consumers have negative equity and commodity return variation, indicating that crude oil is an input to downstream consumers.

Suggested Citation

  • Scott Alan Carson & Scott A. Carson, 2023. "Equity, Commodity, and Distillate Risk for Oil Upstream Producers and Downstream Consumers," CESifo Working Paper Series 10426, CESifo.
    • Handle: RePEc:ces:ceswps:_10426
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10426.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carson, Scott Alan, 2020. "United States oil and gas stock returns with multi-factor pricing models: 2008–2018," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Carson, Scott Alan, 2020. "United States oil and gas stock returns with multi-factor pricing models: 2008-2018," Munich Reprints in Economics 84754, University of Munich, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Scott Alan Carson, 2022. "Long-Term Daily Equity Returns Across Sectors of the Oil and Gas Industry, 2000–2019," Journal of Industry, Competition and Trade, Springer, vol. 22(1), pages 125-143, March.
    2. Mohammad Enamul Hoque & Soo-Wah Low & Mohd Azlan Shah Zaidi & Lain-Tze Tee & Noor Azlan Ghazali, 2023. "Asymmetric and Lag Effects of Industry Risk Factors on the Malaysian Oil and Gas Stocks," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Scott Alan Carson & Scott A. Carson, 2022. "Diesel, Conventional Gas, Jet Fuel, and Natural Gas Equity and Commodity Project Risk across the Oil and Gas Industry," CESifo Working Paper Series 10125, CESifo.
    4. Scott Alan Carson & Wael M. Al-Sawai & Scott A. Carson, 2023. "Partially Adaptive Econometric Methods and Vertically Integrated Majors in the Oil and Gas Industry," CESifo Working Paper Series 10733, CESifo.

    More about this item

    Keywords

    oil and gas; air transportation; ground freight; railroads; tire manufacturing;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ces:ceswps:_10426. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.