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The impact of oil and global markets on Saudi stock market predictability : a machine learning approach
Abdou, Hussein A.; Elamer, Ahmed A.; Abedin, Mohammad Zoynul - In: Energy economics 132 (2024), pp. 1-24
Persistent link: https://www.econbiz.de/10015046881
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Machine learning in energy economics and finance: a review
Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727
Persistent link: https://www.econbiz.de/10012172954
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Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Saâdaoui, Foued; Jabeur, Sami Ben - In: Energy economics 124 (2023), pp. 1-13
Persistent link: https://www.econbiz.de/10014480975
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The role of energy efficiency in income inequality dynamics in developing Asia : evidence from artificial neural networks
Wei, Xun; Pal, Shreya; Mahalik, Mantu Kumar; Liu, Weibai - In: Energy economics 136 (2024), pp. 1-11
Persistent link: https://www.econbiz.de/10015046869
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Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Beyca, Ömer Faruk; Ervural, Beyzanur Cayir; Tatoğlu, Ekrem - In: Energy economics 80 (2019), pp. 937-949
Persistent link: https://www.econbiz.de/10012173755
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The impact of renewable energy on inflation in G7 economies : evidence from artificial neural networks and machine learning methods
Zhang, Long; Padhan, Hemachandra; Singh, Sanjay Kumar; … - In: Energy economics 136 (2024), pp. 1-12
Persistent link: https://www.econbiz.de/10015046686
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Forecasting the realized variance of oil-price returns using machine learning : is there a role for U.S. state-level uncertainty?
Çepni, Oğuzhan; Gupta, Rangan; Pienaar, Daniel; … - In: Energy economics 114 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013477404
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Crude oil risk forecasting : new evidence from multiscale analysis approach
He, Kaijian; Tso, Kwok Fai Geoffrey; Zou, Yingchao; Liu, Jia - In: Energy economics 76 (2018), pp. 574-583
Persistent link: https://www.econbiz.de/10011976731
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Unraveling the crystal ball : machine learning models for crude oil and natural gas volatility forecasting
Tiwari, Aviral Kumar; Sharma, Gagan Deep; Rao, Amar; … - In: Energy economics 134 (2024), pp. 1-28
Persistent link: https://www.econbiz.de/10015047054
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Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? : new evidence
Wang, Jiqian; Huang, Yisu; Ma, Feng; Chevallier, Julien - In: Energy economics 91 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012518664