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Does renewable energy index respond to the pandemic uncertainty?

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  • Hemrit, Wael
  • Benlagha, Noureddine

Abstract

Unlike very recent studies examining the most widely traded commodities (such as; oil and gold) under an overwhelming time pressure and amid high pandemic uncertainty, the effects of world pandemic and economic policy uncertainties along with price movements in common traditional asset classes on the renewable energy index are investigated. The empirical evidence is based on daily data covering the period from January 3, 2005 to June 30, 2020. The results from quantile regression show significant positive effects of the pandemic uncertainty on renewable energy index. In contrast, the empirical findings reveal negative effect of the economic policy uncertainty on the renewable energy index, particularly, in lower quantiles. Accordingly, the results indicate that the effect of the economic policy uncertainty is reversed as the quantiles increase. The study's practical applications are unique and have policy implications; for instance, suitable policies could convert the threats of pandemic uncertainty to great opportunities for renewable energy markets and ultimately, investors not only explore the scope for hedging the oil price risk, but they can reap further portfolio diversification benefits by investing in renewable energy stocks.

Suggested Citation

  • Hemrit, Wael & Benlagha, Noureddine, 2021. "Does renewable energy index respond to the pandemic uncertainty?," Renewable Energy, Elsevier, vol. 177(C), pages 336-347.
  • Handle: RePEc:eee:renene:v:177:y:2021:i:c:p:336-347
    DOI: 10.1016/j.renene.2021.05.130
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    Cited by:

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    8. Diana-Mihaela Jula, 2022. "Renewable Energy during the Pandemic Crisis," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 10(1), pages 34-48, June.
    9. Daniel Stefan Armeanu & Stefan Cristian Gherghina & Jean Vasile Andrei & Camelia Catalina Joldes, 2023. "Evidence from the nonlinear autoregressive distributed lag model on the asymmetric influence of the first wave of the COVID-19 pandemic on energy markets," Energy & Environment, , vol. 34(5), pages 1433-1470, August.
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