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A stochastic dominance analysis of conventional and clean energy stocks during different oil market conditions

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  • Muhammad Usman

    (COMSATS University Islamabad)

Abstract

This study uses stochastic dominance tests to test the relative returns between conventional and clean energy stocks during different oil market conditions. We use the Barrett Donald test to test the dominance between conventional and clean energy stocks. Our sample consists of daily return data of 13 energy indexes from 2010 to 2022. Our results show that conventional energy stocks dominate the clean energy stock during extreme upward oil market conditions (top decile of oil returns) while clean energy stocks dominate the conventional energy stocks in other market conditions (first decile to the ninth decile of oil market returns). Results show a relatively lesser correlation between clean energy stocks with extremely high oil market returns and are consistent with the decoupling hypothesis of clean energy stocks. Our results also show that extreme upward oil market conditions carry good news for conventional energy stocks rather than bad news, as previously thought. Results also show that conventional energy stocks move more with oil market price shocks than clean energy stocks during different market conditions.

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  • Muhammad Usman, 2023. "A stochastic dominance analysis of conventional and clean energy stocks during different oil market conditions," Empirical Economics, Springer, vol. 65(2), pages 875-897, August.
    • Handle: RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-023-02359-0
    DOI: 10.1007/s00181-023-02359-0
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    1. Elie, Bouri & Naji, Jalkh & Dutta, Anupam & Uddin, Gazi Salah, 2019. "Gold and crude oil as safe-haven assets for clean energy stock indices: Blended copulas approach," Energy, Elsevier, vol. 178(C), pages 544-553.
    2. Saeed, Tareq & Bouri, Elie & Alsulami, Hamed, 2021. "Extreme return connectedness and its determinants between clean/green and dirty energy investments," Energy Economics, Elsevier, vol. 96(C).
    3. Lundgren, Amanda Ivarsson & Milicevic, Adriana & Uddin, Gazi Salah & Kang, Sang Hoon, 2018. "Connectedness network and dependence structure mechanism in green investments," Energy Economics, Elsevier, vol. 72(C), pages 145-153.
    4. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    5. AlKhazali, Osamah M. & Lean, Hooi Hooi & Mirzaei, Ali & Zoubi, Taisier, 2021. "A comparison of the gold-oil portfolio and oil portfolio: A stochastic dominance approach," Finance Research Letters, Elsevier, vol. 40(C).
    6. Razmi, Seyedeh Fatemeh & Ramezanian Bajgiran, Bahareh & Behname, Mehdi & Salari, Taghi Ebrahimi & Razmi, Seyed Mohammad Javad, 2020. "The relationship of renewable energy consumption to stock market development and economic growth in Iran," Renewable Energy, Elsevier, vol. 145(C), pages 2019-2024.
    7. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    8. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    9. Luqman, Muhammad & Ahmad, Najid & Bakhsh, Khuda, 2019. "Nuclear energy, renewable energy and economic growth in Pakistan: Evidence from non-linear autoregressive distributed lag model," Renewable Energy, Elsevier, vol. 139(C), pages 1299-1309.
    10. Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
    11. Bondia, Ripsy & Ghosh, Sajal & Kanjilal, Kakali, 2016. "International crude oil prices and the stock prices of clean energy and technology companies: Evidence from non-linear cointegration tests with unknown structural breaks," Energy, Elsevier, vol. 101(C), pages 558-565.
    12. Dawar, Ishaan & Dutta, Anupam & Bouri, Elie & Saeed, Tareq, 2021. "Crude oil prices and clean energy stock indices: Lagged and asymmetric effects with quantile regression," Renewable Energy, Elsevier, vol. 163(C), pages 288-299.
    13. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
    14. Reboredo, Juan C., 2015. "Is there dependence and systemic risk between oil and renewable energy stock prices?," Energy Economics, Elsevier, vol. 48(C), pages 32-45.
    15. Kazemilari, Mansooreh & Mardani, Abbas & Streimikiene, Dalia & Zavadskas, Edmundas Kazimieras, 2017. "An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach," Renewable Energy, Elsevier, vol. 102(PA), pages 107-117.
    16. Mourad Mroua & Slah Bahloul & Nader Naifar, 2022. "Should investors include bitcoin in their portfolio? New evidence from a bootstrap-based stochastic dominance approach," Applied Economics Letters, Taylor & Francis Journals, vol. 29(1), pages 53-62, January.
    17. Geng, Jiang-Bo & Liu, Changyu & Ji, Qiang & Zhang, Dayong, 2021. "Do oil price changes really matter for clean energy returns?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
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