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Correlations between crude oil and stocks prices of renewable energy and technology companies: A multiscale time-dependent analysis

Citations

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Cited by:

  1. Dai, Zhifeng & Zhu, Haoyang & Zhang, Xinhua, 2022. "Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle," Energy Economics, Elsevier, vol. 109(C).
  2. Ben Amar, Amine & Bouattour, Mondher & Bellalah, Makram & Goutte, Stéphane, 2023. "Shift contagion and minimum causal intensity portfolio during the COVID-19 and the ongoing Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
  3. Christian Urom & Gideon Ndubuisi & Hela Mzoughi & Khaled Guesmi, 2024. "Exploring the coherency and predictability between the stocks of artificial intelligence and energy corporations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-31, December.
  4. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled & Benkraien, Ramzi, 2022. "Quantile co-movement and dependence between energy-focused sectors and artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  5. Chen, Zhuoyi & Liu, Yuanyuan & Zhang, Hongwei, 2024. "Can geopolitical risks impact the long-run correlation between crude oil and clean energy markets? Evidence from a regime-switching analysis," Renewable Energy, Elsevier, vol. 229(C).
  6. Wu, Tao & Gao, Xiangyun & An, Feng & Kurths, Jürgen, 2023. "The complex dynamics of correlations within chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
  7. Wang, Xiufeng & Jiang, Yiyun & Gu, Manyi, 2024. "Exploring the interplay: Crude oil futures, economic shocks, and China's resources," Resources Policy, Elsevier, vol. 91(C).
  8. Li, Jingpeng & Umar, Muhammad & Huo, Jiale, 2023. "The spillover effect between Chinese crude oil futures market and Chinese green energy stock market," Energy Economics, Elsevier, vol. 119(C).
  9. Tan, Xueping & Geng, Yong & Vivian, Andrew & Wang, Xinyu, 2021. "Measuring risk spillovers between oil and clean energy stocks: Evidence from a systematic framework," Resources Policy, Elsevier, vol. 74(C).
  10. Xi, Yue & Zeng, Qing & Lu, Xinjie & Huynh, Toan L.D., 2022. "Oil and renewable energy stock markets: Unique role of extreme shocks," Energy Economics, Elsevier, vol. 109(C).
  11. Mohsin, Muhammad & Jamaani, Fouad, 2023. "Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning," Resources Policy, Elsevier, vol. 85(PA).
  12. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
  13. Si Mohammed, K. & Mellit, A., 2023. "The relationship between oil prices and the indices of renewable energy and technology companies based on QQR and GCQ techniques," Renewable Energy, Elsevier, vol. 209(C), pages 97-105.
  14. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
  15. Yiming, Wang & Xun, Liu & Umair, Muhammad & Aizhan, Assilova, 2024. "COVID-19 and the transformation of emerging economies: Financialization, green bonds, and stock market volatility," Resources Policy, Elsevier, vol. 92(C).
  16. Koczar, Monika W. & Jareño, Francisco & Escribano, Ana, 2024. "Dynamic linkages and contagion effects: Analyzing the linkages between crude oil prices, US market sector indices and energy markets," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
  17. Zhang, Hongwei & Hong, Huojun & Ding, Shijie, 2023. "The role of climate policy uncertainty on the long-term correlation between crude oil and clean energy," Energy, Elsevier, vol. 284(C).
  18. Bouoiyour, Jamal & Gauthier, Marie & Bouri, Elie, 2023. "Which is leading: Renewable or brown energy assets?," Energy Economics, Elsevier, vol. 117(C).
  19. Zeyi Fu & Hongli Niu & Weiqing Wang, 2023. "Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1287-1311, October.
  20. Khan, Faridoon & Muhammadullah, Sara & Sharif, Arshian & Lee, Chien-Chiang, 2024. "The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models," Energy Economics, Elsevier, vol. 130(C).
  21. Banerjee, Ameet Kumar & Sensoy, Ahmet & Goodell, John W., 2024. "Connectivity and spillover during crises: Highlighting the prominent and growing role of green energy," Energy Economics, Elsevier, vol. 129(C).
  22. Wu, Tao & Sun, Xiaotong & Xu, Xin & Jia, Nanfei & Xuan, Siyuan, 2024. "New evidence of interdependence in forex markets: A connection of connection analysis," International Review of Financial Analysis, Elsevier, vol. 95(PA).
  23. Zhang, Dongyang & Bai, Dingchuan & Chen, Xingyu, 2024. "Can crude oil futures market volatility motivate peer firms in competing ESG performance? An exploration of Shanghai International Energy Exchange," Energy Economics, Elsevier, vol. 129(C).
  24. Zheng, Biao & Zhang, Yuquan W. & Qu, Fang & Geng, Yong & Yu, Haishan, 2022. "Do rare earths drive volatility spillover in crude oil, renewable energy, and high-technology markets? — A wavelet-based BEKK- GARCH-X approach," Energy, Elsevier, vol. 251(C).
  25. Ferreira, Paulo & Almeida, Dora & Dionísio, Andreia & Bouri, Elie & Quintino, Derick, 2022. "Energy markets – Who are the influencers?," Energy, Elsevier, vol. 239(PA).
  26. Farid, Saqib & Karim, Sitara & Naeem, Muhammad A. & Nepal, Rabindra & Jamasb, Tooraj, 2023. "Co-movement between dirty and clean energy: A time-frequency perspective," Energy Economics, Elsevier, vol. 119(C).
  27. Kocaarslan, Baris & Soytas, Ugur, 2021. "Reserve currency and the volatility of clean energy stocks: The role of uncertainty," Energy Economics, Elsevier, vol. 104(C).
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