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Oil price and stock returns in Europe

Author

Listed:
  • Gábor Bóta

    (Eötvös Loránd University, Hungary)

  • Mihály Ormos

    (J. Selye University, Slovakia)

  • Imrich Antalík

    (J. Selye University, Slovakia)

Abstract

In this paper we examine the relationship between oil price changes and of European oil and gas companies. We use all the widely known equilibrium models and extend them with the oil price factor as well. We classify the companies according to their location into Western European (WE), Central and Eastern European (CEE) and South Eastern European region (SE). Our results show that oil is a significant factor for most of the Western European, but less than the half of the CEE and SE companies. These results suggest that Western European oil and gas companies have high exposure to oil price changes, while the returns of their CEE and SE counterparts are less influenced by the oil price. When we incorporate oil price changes the explaining power of the models increases substantially for Western European companies but we can detect only a slight change for CEE and South Eastern European oil and gas companies. We also detect regional differences in the sign of the HML factor, which is usually negative for Western European and positive for CEE and South Eastern European companies.

Suggested Citation

  • Gábor Bóta & Mihály Ormos & Imrich Antalík, 2023. "Oil price and stock returns in Europe," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 10(3), pages 329-339, March.
    • Handle: RePEc:ssi:jouesi:v:10:y:2023:i:3:p:329-339
    DOI: 10.9770/jesi.2023.10.3(22)
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    References listed on IDEAS

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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    3. 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.
    4. Nandha, Mohan & Hammoudeh, Shawkat, 2007. "Systematic risk, and oil price and exchange rate sensitivities in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 21(2), pages 326-341, June.
    5. 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.
    6. Ramos, Sofia B. & Veiga, Helena, 2011. "Risk factors in oil and gas industry returns: International evidence," Energy Economics, Elsevier, vol. 33(3), pages 525-542, May.
    7. Oberndorfer, Ulrich, 2009. "Energy prices, volatility, and the stock market: Evidence from the Eurozone," Energy Policy, Elsevier, vol. 37(12), pages 5787-5795, December.
    8. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    9. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
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    More about this item

    Keywords

    asset pricing; oil price; regional differences;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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