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Green stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlation

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  • Fareed, Zeeshan
  • Abbas, Shujaat
  • Madureira, Livia
  • Wang, Zhenkun

Abstract

The COVID-19 pandemic disrupted almost all spares of global social, psychological, and economic life. The emergence of various variants and corresponding variations in daily infection asymmetrically influenced economic indicators. This study extends the existing literature by exploring the hedging potential of crude oil, carbon efficiency index of green firms, and bitcoin during this pandemic. This objective is realized by employing the recently advanced rolling window multiple correlation of Polanco-Martínez (2020). This approach is based on the new p-value corrected method, which has advantages over other correlation methods. The sample observations are based on daily data from 1/22/2020 to 12/20/2021. In the bivariate case, we find a significant positive correlation between COVID-19 and CEI, while a negative impact is observed between COVID-19 and WTI. Similarly, we observe a significant and nonlinear association between COVID-19 and BTC. However, our findings show positive and significant correlations among variables in the multivariate case. The overall findings show that CEI and BTC can be safe havens for investors during this worse pandemic. The study's robust findings can be used to derive important policy implications worldwide during the COVID-19 pandemic.

Suggested Citation

  • Fareed, Zeeshan & Abbas, Shujaat & Madureira, Livia & Wang, Zhenkun, 2022. "Green stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlation," Resources Policy, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004081
    DOI: 10.1016/j.resourpol.2022.102965
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    4. Shahzad, Umer & Ghaemi Asl, Mahdi & Panait, Mirela & Sarker, Tapan & Apostu, Simona Andreea, 2023. "Emerging interaction of artificial intelligence with basic materials and oil & gas companies: A comparative look at the Islamic vs. conventional markets," Resources Policy, Elsevier, vol. 80(C).
    5. Hanif, Waqas & Teplova, Tamara & Rodina, Victoria & Alomari, Mohammed & Mensi, Walid, 2023. "Volatility spillovers and frequency dependence between oil price shocks and green stock markets," Resources Policy, Elsevier, vol. 85(PB).
    6. Ding, Tao & Li, Hao & Tan, Ruipeng & Zhao, Xin, 2023. "How does geopolitical risk affect carbon emissions?: An empirical study from the perspective of mineral resources extraction in OECD countries," Resources Policy, Elsevier, vol. 85(PB).
    7. Zhuoqi Teng & Renhong Wu & Yugang He & Anibal Coronel, 2023. "Swings in Crude Oil Valuations: Analyzing Their Bearing on China’s Stock Market Returns amid the COVID-19 Pandemic Upheaval," Discrete Dynamics in Nature and Society, Hindawi, vol. 2023, pages 1-10, June.
    8. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.

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