Quantile co-movement and dependence between energy-focused sectors and artificial intelligence
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DOI: 10.1016/j.techfore.2022.121842
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- Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
- Yang, Shengyao & Zhu, Meng Nan & Yu, Haiyan, 2024. "Are artificial intelligence and blockchain the key to unlocking the box of clean energy?," Energy Economics, Elsevier, vol. 134(C).
- Zhang, Yan & Xu, Yushi & Zhu, Xintong & Huang, Jionghao, 2024. "Coal price shock propagation through sectoral financial interconnectedness in China's stock market: Quantile coherency network modelling and shock decomposition analysis," Journal of Commodity Markets, Elsevier, vol. 34(C).
- Boungou, Whelsy & Urom, Christian, 2023. "Climate change-related risks and bank stock returns," Economics Letters, Elsevier, vol. 224(C).
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Keywords
Tail dependence; Artificial intelligence; Energy corporations; Quantile-spectral coherence;All these keywords.
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