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Uncertainty and Stock Returns in Energy Markets: A Quantile Regression Approach

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  • Cedic, Samir
  • Mahmoud, Alwan
  • Manera, Matteo
  • Uddin, Gazi Salah

Abstract

The aim of this paper is to analyze the relationship between different types of uncertainty and stock returns of the renewable energy and the oil & gas sectors. We use the quantile regression approach developed by Koenker and d’Orey (1987; 1994) to assess which uncertainties are the potential drivers of stock returns under different market conditions. We find that the bioenergy and the oil & gas sectors are most sensitive to uncertainties. Both sectors are affected by financial, euro currency, geopolitical and economic policy uncertainties. Our results have several policy implications. Climate policy makers can prioritize policies that support bioenergy in order to reduce the potentially negative effects of uncertainties on bioenergy investment. Investors aiming to diversify their portfolio should be aware that many uncertainties are common drivers of bioenergy and oil & gas returns, the connectedness between assets of these energy types could therefore increase when uncertainty increases.

Suggested Citation

  • Cedic, Samir & Mahmoud, Alwan & Manera, Matteo & Uddin, Gazi Salah, 2021. "Uncertainty and Stock Returns in Energy Markets: A Quantile Regression Approach," FEEM Working Papers 310388, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemwp:310388
    DOI: 10.22004/ag.econ.310388
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    References listed on IDEAS

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    1. Gupta, Kartick, 2017. "Do economic and societal factors influence the financial performance of alternative energy firms?," Energy Economics, Elsevier, vol. 65(C), pages 172-182.
    2. Marques, António Cardoso & Fuinhas, José Alberto, 2012. "Are public policies towards renewables successful? Evidence from European countries," Renewable Energy, Elsevier, vol. 44(C), pages 109-118.
    3. Evangelos Kyritsis and Apostolos Serletis, 2019. "Oil Prices and the Renewable Energy Sector," The Energy Journal, International Association for Energy Economics, vol. 0(The New E).
    4. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    5. Hany Abdel-Latif & Mahmoud El-Gamal, 2019. "Antecedents of war: the geopolitics of low oil prices and decelerating financial liquidity," Applied Economics Letters, Taylor & Francis Journals, vol. 26(9), pages 765-769, May.
    6. Diaz, Elena Maria & de Gracia, Fernando Perez, 2017. "Oil price shocks and stock returns of oil and gas corporations," Finance Research Letters, Elsevier, vol. 20(C), pages 75-80.
    7. Bouoiyour, Jamal & Selmi, Refk & Hammoudeh, Shawkat & Wohar, Mark E., 2019. "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Energy Economics, Elsevier, vol. 84(C).
    8. Roger W. Koenker & Vasco D'Orey, 1987. "Computing Regression Quantiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 383-393, November.
    9. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
    10. Boying Li & Chun-Ping Chang & Yin Chu & Bo Sui, 2020. "Oil prices and geopolitical risks: What implications are offered via multi-domain investigations?," Energy & Environment, , vol. 31(3), pages 492-516, May.
    11. Kang, Wensheng & Perez de Gracia, Fernando & Ratti, Ronald A., 2017. "Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 344-359.
    12. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018. "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, vol. 76(C), pages 115-126.
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    Cited by:

    1. Sarit Maitra, 2023. "Impact of Economic Uncertainty, Geopolitical Risk, Pandemic, Financial & Macroeconomic Factors on Crude Oil Returns -- An Empirical Investigation," Papers 2310.01123, arXiv.org, revised Oct 2023.

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    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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