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Renewable Energy Transition: Evidence from Spillover Effects in Exchange-Traded Funds

Author

Listed:
  • Anton Lisin

    (Financial University under the Government of the Russian Federation, Moscow, Russia,)

  • Tomonobu Senjyu

    (University of the Ryukyus, Nishihara, Okinawa, Japan.)

Abstract

The article examines the spillover effect of the transition to renewable energy on different financial markets: specifically, the stock market. The research paper analyzes the prices and dynamics of oil-related assets and renewable funds, as well as reviews literature on the topic in order to evaluate the most important factors of development in these industries. The article utilizes methods of correlation analysis, analysis of variance, regression analysis and standards of deviation and error with the intention to test null hypotheses from previous research. The study uses empirical data spanning the majority of the last decade, in which a decline in the oil market can be observed. This is juxtaposed by the rapid and intense development of renewable energy solar energy in particular. As concluded in the article, there is a strong spillover effect of this growth onto other markets, emphasizing the investments flowing into renewable energy. Moreover, the ambitious prospects of renewable energy development and it being a strong competitor to fossil fuels and, specifically, oil is drawn as a result of the conducted research.

Suggested Citation

  • Anton Lisin & Tomonobu Senjyu, 2021. "Renewable Energy Transition: Evidence from Spillover Effects in Exchange-Traded Funds," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 184-190.
  • Handle: RePEc:eco:journ2:2021-03-23
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    References listed on IDEAS

    as
    1. Christiane Baumeister & Lutz Kilian, 2016. "Understanding the Decline in the Price of Oil since June 2014," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(1), pages 131-158.
    2. Chia-Lin Chang & Yu-Pei Ke, 2014. "Testing Price Pressure, Information, Feedback Trading, And Smoothing Effects For Energy Exchange Traded Funds," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-26.
    3. Arouri, Mohamed El Hedi & Lahiani, Amine & Nguyen, Duc Khuong, 2011. "Return and volatility transmission between world oil prices and stock markets of the GCC countries," Economic Modelling, Elsevier, vol. 28(4), pages 1815-1825, July.
    4. Chen, Hongtao & Liu, Li & Wang, Yudong & Zhu, Yingming, 2016. "Oil price shocks and U.S. dollar exchange rates," Energy, Elsevier, vol. 112(C), pages 1036-1048.
    5. Awartani, Basel & Maghyereh, Aktham I. & Shiab, Mohammad Al, 2013. "Directional spillovers from the U.S. and the Saudi market to equities in the Gulf Cooperation Council countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 224-242.
    6. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    7. Hankyeung Choi & David J. Leatham & Kunlapath Sukcharoen, 2015. "Oil Price Forecasting Using Crack Spread Futures and Oil Exchange Traded Funds," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(1), March.
    8. Jaehyung An & Alexey Mikhaylov & Nikita Moiseev, 2019. "Oil Price Predictors: Machine Learning Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 1-6.
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    Cited by:

    1. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo & Simshauer, Paul, 2022. "Renewable energy and portfolio volatility spillover effects of GCC oil exporting countries," MPRA Paper 114164, University Library of Munich, Germany.
    2. Appiah, Michael & Ashraf, Sania & Tiwari, Aviral Kumar & Gyamfi, Bright Akwasi & Onifade, Stephen Taiwo, 2023. "Does financialization enhance renewable energy development in Sub-Saharan African countries?," Energy Economics, Elsevier, vol. 125(C).
    3. Aljinović Zdravka & Marasović Branka & Milićević Tea Kalinić, 2022. "The Risk and Return of Traditional and Alternative Investments Under the Impact of COVID-19," Business Systems Research, Sciendo, vol. 13(3), pages 8-22, October.

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    More about this item

    Keywords

    Spillover effect; solar energy; oil energy; transition; energy investments.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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