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Diesel, Conventional Gas, Jet Fuel, and Natural Gas Equity and Commodity Project Risk across the Oil and Gas Industry

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  • Scott Alan Carson
  • Scott A. Carson

Abstract

Oil and gas company returns are compared between upstream, midstream, and down-stream sectors from 2000 through 2020. Crude oil, natural gas, and distillate returns reflect project risk, infrastructure, and conditions within the industry. Equity, commodity, and distillate markets positively price returns, and equity market risk and returns are higher than for commodity markets. Refining & marketing and equipment & service firms have the greatest equity market risk, while equipment & service and exploration & production firms have the greatest commodity market risk. Refining & marketing firm returns did not systematically vary with commodity market risk. Producer returns are positively related to crude distillates, and across the oil and gas industry, diesel has the greatest risk and distillate return. Equity, commodity, and distillate returns are collectively significant in individual risk and returns.

Suggested Citation

  • 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.
  • Handle: RePEc:ces:ceswps:_10125
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    References listed on IDEAS

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    1. Kim, Seon Tae & Choi, Bongseok, 2019. "Price risk management and capital structure of oil and gas project companies: Difference between upstream and downstream industries," Energy Economics, Elsevier, vol. 83(C), pages 361-374.
    2. 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).
    3. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    4. Mohanty, Sunil K. & Nandha, Mohan & Turkistani, Abdullah Q. & Alaitani, Muhammed Y., 2011. "Oil price movements and stock market returns: Evidence from Gulf Cooperation Council (GCC) countries," Global Finance Journal, Elsevier, vol. 22(1), pages 42-55.
    5. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    6. Arouri, Mohamed El Hedi, 2011. "Does crude oil move stock markets in Europe? A sector investigation," Economic Modelling, Elsevier, vol. 28(4), pages 1716-1725, July.
    7. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    8. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    9. Giebel, Marek & Kraft, Kornelius, 2020. "Bank credit supply and firm innovation behavior in the financial crisis," Journal of Banking & Finance, Elsevier, vol. 121(C).
    10. Knut Anton Mork & Oystein Olsen & Hans Terje Mysen, 1994. "Macroeconomic Responses to Oil Price Increases and Decreases in Seven OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 19-36.
    11. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    12. Eugene F. Fama & Kenneth R. French, 2004. "The Capital Asset Pricing Model: Theory and Evidence," Journal of Economic Perspectives, American Economic Association, vol. 18(3), pages 25-46, Summer.
    13. 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.
    14. Kiseok Lee & Shawn Ni & Ronald A. Ratti, 1995. "Oil Shocks and the Macroeconomy: The Role of Price Variability," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 39-56.
    15. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    16. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2011. "New evidence on oil price and firm returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3253-3262.
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    More about this item

    Keywords

    oil and gas asset pricing models; book to market; size; oil and gas sector;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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