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The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning

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  1. Kocaarslan, Baris & Mushtaq, Rizwan, 2024. "The impact of liquidity conditions on the time-varying link between U.S. municipal green bonds and major risky markets during the COVID-19 crisis: A machine learning approach," Energy Policy, Elsevier, vol. 184(C).
  2. Xu Gong & Mengjie Li & Keqin Guan & Chuanwang Sun, 2023. "Climate change attention and carbon futures return prediction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1261-1288, September.
  3. Ghosh, Indranil & Jana, Rabin K., 2024. "Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  4. Stef, Nicolae & Başağaoğlu, Hakan & Chakraborty, Debaditya & Ben Jabeur, Sami, 2023. "Does institutional quality affect CO2 emissions? Evidence from explainable artificial intelligence models," Energy Economics, Elsevier, vol. 124(C).
  5. Rabeh Khalfaoui & Sami Ben Jabeur & Shawkat Hammoudeh & Wissal Ben Arfi, 2025. "The role of political risk, uncertainty, and crude oil in predicting stock markets: evidence from the UAE economy," Annals of Operations Research, Springer, vol. 345(2), pages 1105-1135, February.
  6. Bhattacherjee, Purba & Mishra, Sibanjan & Bouri, Elie, 2024. "Does asset-based uncertainty drive asymmetric return connectedness across regional ESG markets?," Global Finance Journal, Elsevier, vol. 61(C).
  7. Taha Zaghdoudi & Kais Tissaoui & Abdelaziz Hakimi & Lamia Ben Amor, 2024. "Dirty versus renewable energy consumption in China: a comparative analysis between conventional and non-conventional approaches," Annals of Operations Research, Springer, vol. 334(1), pages 601-622, March.
  8. Haithem Awijen & Hachmi Ben Ameur & Zied Ftiti & Waël Louhichi, 2025. "Forecasting oil price in times of crisis: a new evidence from machine learning versus deep learning models," Annals of Operations Research, Springer, vol. 345(2), pages 979-1002, February.
  9. Xiaojie Xu & Yun Zhang, 2023. "Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(4), pages 563-582, December.
  10. Hum Nath Bhandari & Nawa Raj Pokhrel & Ramchandra Rimal & Keshab R. Dahal & Binod Rimal, 2024. "Implementation of deep learning models in predicting ESG index volatility," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-24, December.
  11. Li, Hailing & Li, Yuxin & Zhang, Hua, 2023. "The spillover effects among the traditional energy markets, metal markets and sub-sector clean energy markets," Energy, Elsevier, vol. 275(C).
  12. Anis Jarboui & Emna Mnif, 2024. "Can Clean Energy Stocks Predict Crude Oil Markets Using Hybrid and Advanced Machine Learning Models?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(4), pages 821-844, December.
  13. Yang, Cai & Zhang, Hongwei & Weng, Futian, 2024. "Effects of COVID-19 vaccination programs on EU carbon price forecasts: Evidence from explainable machine learning," International Review of Financial Analysis, Elsevier, vol. 91(C).
  14. Trotta, Annarita & Rania, Francesco & Strano, Eugenia, 2024. "Exploring the linkages between FinTech and ESG: A bibliometric perspective," Research in International Business and Finance, Elsevier, vol. 69(C).
  15. de Boyrie, Maria E. & Pavlova, Ivelina, 2024. "Connectedness with commodities in emerging markets: ESG leaders vs. conventional indexes," Research in International Business and Finance, Elsevier, vol. 71(C).
  16. Kocaarslan, Baris, 2024. "US dollar and oil market uncertainty: New evidence from explainable machine learning," Finance Research Letters, Elsevier, vol. 64(C).
  17. AlGhazali, Abdullah & Belghouthi, Houssem Eddine & Mensi, Walid & Mclver, Ron & Kang, Sang Hoon, 2024. "Oil price shocks, sustainability index, and green bond market spillovers and connectedness during bear and bull market conditions," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1470-1489.
  18. Guan, Keqin & Gong, Xu, 2023. "A new hybrid deep learning model for monthly oil prices forecasting," Energy Economics, Elsevier, vol. 128(C).
  19. Kais Tissaoui & Taha Zaghdoudi & Abdelaziz Hakimi & Mariem Nsaibi, 2023. "Do Gas Price and Uncertainty Indices Forecast Crude Oil Prices? Fresh Evidence Through XGBoost Modeling," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 663-687, August.
  20. Abid, Ilyes & BenMabrouk, Houda & Guesmi, Khaled & Mansour, Abir, 2025. "The clout of happiness and uncertainty in the environmental transition: Insights from CO2 and clean energy dynamic spillovers," Research in International Business and Finance, Elsevier, vol. 74(C).
  21. Xiang, Diling & Ghaemi Asl, Mahdi & Nasr Isfahani, Mohammad & Vasa, László, 2024. "Would really long-only climate-transition strategies in commodities bring lower market risk for sustainable markets in the long run? The Islamic sustainable market versus the global sustainability lea," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1271-1295.
  22. Wu, Xianguo & Wang, Jingyi & Feng, Zongbao & Chen, Hongyu & Li, Tiejun & Liu, Yang, 2024. "Multisource information fusion for real-time prediction and multiobjective optimization of large-diameter slurry shield attitude," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
  23. Ben Jabeur, Sami & Bakkar, Yassine & Cepni, Oguzhan, 2025. "Do global COVOL and geopolitical risks affect clean energy prices? Evidence from explainable artificial intelligence models," Energy Economics, Elsevier, vol. 141(C).
  24. Yuanping Wang & Lang Hu & Lingchun Hou & Lin Wang & Juntao Chen & Yu He & Xinyue Su, 2024. "A SHAP machine learning-based study of factors influencing urban residents' electricity consumption - evidence from chinese provincial data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30445-30476, December.
  25. Hongqin Tang & Jianping Zhu & Nan Li & Weipeng Wu, 2024. "Impact of Enterprise Supply Chain Digitalization on Cost of Debt: A Four-Flows Perspective Analysis Using Explainable Machine Learning Methodology," Sustainability, MDPI, vol. 16(19), pages 1-27, October.
  26. Miriam Sosa & Edgar Ortiz & Alejandra Cabello, 2022. "ESG Green Equity Finance Risk and Links in Mexico: Conditional Volatility and Markov Switching Vector Analyses," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(4), pages 1-21, Octubre -.
  27. Li, Dongxin & Zhang, Feipeng & Yuan, Di & Cai, Yuan, 2024. "Does COVID-19 impact the dependence between oil and stock markets? Evidence from RCEP countries," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 909-939.
  28. 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).
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