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Global Oil Market and the U.S. Stock Returns

Author

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  • Ahmadi, Maryam
  • Manera, Matteo
  • Sadeghzadeh, Mehdi

Abstract

This paper provides an analysis of the link between the oil market and the U.S. stock market returns at the aggregate as well as industry levels. We empirically model oil price changes as driven by speculative demand shocks along with consumption demand and supply shocks in the oil market. We also take into account in our model all the factors that affect stock market price movements over and above the oil market, in order to quantify the pure effect of oil price shocks on returns. The results show that stock returns respond to oil price shocks differently, depending on the causes behind the shocks. Impulse response analysis suggests that consumption demand shocks are the most relevant drivers of the stock market return, relative to other oil market driven shocks. Industry level analysis is performed to control for the heterogeneity of the responses of returns to oil price changes. The results show that both cost side and demand side effects of oil price shocks matter for the responses of industries to oil price shocks. However, the main driver of the variation in industries’ returns is the shock to aggregate stock market.

Suggested Citation

  • Ahmadi, Maryam & Manera, Matteo & Sadeghzadeh, Mehdi, "undated". "Global Oil Market and the U.S. Stock Returns," Energy: Resources and Markets 230599, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemer:230599
    DOI: 10.22004/ag.econ.230599
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    Cited by:

    1. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    2. Yonghong Jiang & Gengyu Tian & Bin Mo, 2020. "Spillover and quantile linkage between oil price shocks and stock returns: new evidence from G7 countries," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-26, December.
    3. Sa Xu & Ziqing Du & Hai Zhang, 2020. "Can Crude Oil Serve as a Hedging Asset for Underlying Securities?—Research on the Heterogenous Correlation between Crude Oil and Stock Index," Energies, MDPI, vol. 13(12), pages 1-19, June.
    4. Tega Anighoro, 2020. "Value relevance of the components of oil and gas reserve quantity change disclosures of upstream oil and gas companies in the london stock exchange," Papers 2005.14659, arXiv.org.
    5. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    6. Day, Min-Yuh & Ni, Yensen & Huang, Paoyu, 2019. "Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 349-372.
    7. Mensi, Walid & Hammoudeh, Shawkat & Vinh Vo, Xuan & Hoon Kang, Sang, 2021. "Volatility spillovers between oil and equity markets and portfolio risk implications in the US and vulnerable EU countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    8. Muhammad Abubakr Naeem & Saqib Farid & Safwan Mohd Nor & Syed Jawad Hussain Shahzad, 2021. "Spillover and Drivers of Uncertainty among Oil and Commodity Markets," Mathematics, MDPI, vol. 9(4), pages 1-26, February.
    9. Grecu, Robert Adrian & Cramer, Alexandru Adrian & Pele, Daniel Traian & Lessmann, Stefan, 2025. "The link between energy prices and stock markets in European Union countries," The North American Journal of Economics and Finance, Elsevier, vol. 78(C).
    10. Kirkulak-Uludag, Berna & Safarzadeh, Omid, 2021. "Exploring shock and volatility transmission between oil and Chinese industrial raw materials," Resources Policy, Elsevier, vol. 70(C).
    11. Azimli, Asil, 2020. "The oil price risk and global stock returns," Energy, Elsevier, vol. 198(C).

    More about this item

    Keywords

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    JEL classification:

    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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