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Crude oil price analysis and forecasting: A perspective of “new triangle”

Citations

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Cited by:

  1. Hao-Lin Shao & Ying-Hui Shao & Yan-Hong Yang, 2021. "New insights into price drivers of crude oil futures markets: Evidence from quantile ARDL approach," Papers 2110.02693, arXiv.org.
  2. Lv, Wendai & Wu, Qian, 2022. "Global economic conditions index and oil price predictability," Finance Research Letters, Elsevier, vol. 48(C).
  3. Shahzad, Umer & Doğan, Buhari & Sinha, Avik & Fareed, Zeeshan, 2021. "Does Export product diversification help to reduce energy demand: Exploring the contextual evidences from the newly industrialized countries," Energy, Elsevier, vol. 214(C).
  4. Li, Jieyi & Qian, Shuangyue & Li, Ling & Guo, Yuanxuan & Wu, Jun & Tang, Ling, 2024. "A novel secondary decomposition method for forecasting crude oil price with twitter sentiment," Energy, Elsevier, vol. 290(C).
  5. Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
  6. Liang, Qian & Lin, Qingyuan & Guo, Mengzhuo & Lu, Quanying & Zhang, Dayong, 2025. "Forecasting crude oil prices: A Gated Recurrent Unit-based nonlinear Granger Causality model," International Review of Financial Analysis, Elsevier, vol. 102(C).
  7. Luo, Qin & Ma, Feng & Wang, Jiqian & Wu, You, 2024. "Changing determinant driver and oil volatility forecasting: A comprehensive analysis," Energy Economics, Elsevier, vol. 129(C).
  8. Chang, Lei & Taghizadeh-Hesary, Farhad & Saydaliev, Hayot Berk, 2022. "How do ICT and renewable energy impact sustainable development?," Renewable Energy, Elsevier, vol. 199(C), pages 123-131.
  9. Yang, Kun & Cheng, Zishu & Li, Mingchen & Wang, Shouyang & Wei, Yunjie, 2024. "Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy," Applied Energy, Elsevier, vol. 353(PA).
  10. Tan, Hua & Iqbal, Nadeem & Wu, Zhengzhong, 2022. "Evaluating the impact of stakeholder engagement for renewable energy sources and economic growth for CO2 emission," Renewable Energy, Elsevier, vol. 198(C), pages 999-1007.
  11. Cheng, Xian & Wu, Peng & Liao, Stephen Shaoyi & Wang, Xuelian, 2023. "An integrated model for crude oil forecasting: Causality assessment and technical efficiency," Energy Economics, Elsevier, vol. 117(C).
  12. Haas, Christian & Budin, Constantin & d’Arcy, Anne, 2024. "How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores," Energy Economics, Elsevier, vol. 133(C).
  13. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
  14. Liu, Shican & Zhu, Songping, 2025. "Can volatility spread fully capture the put–call parity violation?," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
  15. Zhao, Zhengling & Sun, Shaolong & Sun, Jingyun & Wang, Shouyang, 2024. "A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting," Energy, Elsevier, vol. 288(C).
  16. Yu, Xing & Li, Yanyan & Zhao, Qian, 2024. "Research on optimization strategy of futures hedging dependent on market state," Applied Energy, Elsevier, vol. 373(C).
  17. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
  18. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
  19. Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).
  20. Chen, Yufeng & Msofe, Zulkifr Abdallah & Wang, Chuwen & Chen, Minghui, 2025. "Oil price uncertainty, exchange rate volatility, and African stock markets: A nonparametric quantile-on-quantile analysis," International Review of Financial Analysis, Elsevier, vol. 105(C).
  21. Lin, Chia-Yang & Chau, Ka Yin & Tran, Trung Kien & Sadiq, Muhammad & Van, Le & Hien Phan, Thi Thu, 2022. "Development of renewable energy resources by green finance, volatility and risk: Empirical evidence from China," Renewable Energy, Elsevier, vol. 201(P1), pages 821-831.
  22. He, Huizi & Sun, Mei & Li, Xiuming & Mensah, Isaac Adjei, 2022. "A novel crude oil price trend prediction method: Machine learning classification algorithm based on multi-modal data features," Energy, Elsevier, vol. 244(PA).
  23. Kumar, Sourabh & Kumar Barua, Mukesh, 2022. "Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain," Resources Policy, Elsevier, vol. 79(C).
  24. Yilin Ma & Yudong Wang & Weizhong Wang, 2026. "Forecasting crude oil prices: a novel model combined multisource predictors, factor screening, and forecast combination," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-37, December.
  25. Gao, Feng & Chi, Hong & Shao, Xueyan, 2021. "Forecasting residential electricity consumption using a hybrid machine learning model with online search data," Applied Energy, Elsevier, vol. 300(C).
  26. He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
  27. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  28. Amar Rao & Marco Tedeschi & Kamel Si Mohammed & Umer Shahzad, 2024. "Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3295-3315, December.
  29. Başyiğit, Mikail, 2021. "Can Google Trends improve the marble demand model: A case study of USA's marble demand from Turkey," Resources Policy, Elsevier, vol. 72(C).
  30. Yan, Zichun & Tian, Fangzhu & Sun, Yuying & Wang, Shouyang, 2024. "A time-frequency-based interval decomposition ensemble method for forecasting gasoil prices under the trend of low-carbon development," Energy Economics, Elsevier, vol. 134(C).
  31. Li, Ye & Chen, Yiyan & Lean, Hooi Hooi, 2024. "Geopolitical risk and crude oil price predictability: Novel decomposition ensemble approach based ternary interval number series," Resources Policy, Elsevier, vol. 92(C).
  32. Xiuzhen, Xie & Zheng, Wenxiu & Umair, Muhammad, 2022. "Testing the fluctuations of oil resource price volatility: A hurdle for economic recovery," Resources Policy, Elsevier, vol. 79(C).
  33. Liu, Yang & Dilanchiev, Azer & Xu, Kaifei & Hajiyeva, Aytan Merdan, 2022. "Financing SMEs and business development as new post Covid-19 economic recovery determinants," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 554-567.
  34. Jiang, Ping & Liu, Zhenkun & Wang, Jianzhou & Zhang, Lifang, 2021. "Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm," Resources Policy, Elsevier, vol. 73(C).
  35. Yang, Kun & Sun, Yuying & Hong, Yongmiao & Wang, Shouyang, 2024. "Forecasting interval carbon price through a multi-scale interval-valued decomposition ensemble approach," Energy Economics, Elsevier, vol. 139(C).
  36. Abdollahi, Hooman, 2020. "A novel hybrid model for forecasting crude oil price based on time series decomposition," Applied Energy, Elsevier, vol. 267(C).
  37. Abdelmounaim Hadjira & Hicham Salhi & Lyes Choubar, 2025. "OPEC Basket Monthly Crude Oil Price Forecasting: Comparative Study Between Prophet Facebook, NNAR, FTS Models," Computational Economics, Springer;Society for Computational Economics, vol. 66(2), pages 1647-1669, August.
  38. Liu, Shuihan & Li, Mingchen & Yang, Kun & Wei, Yunjie & Wang, Shouyang, 2025. "From forecasting to trading: A multimodal-data-driven approach to reversing carbon market losses," Energy Economics, Elsevier, vol. 144(C).
  39. Zhao, Lu-Tao & Zheng, Zhi-Yi & Wei, Yi-Ming, 2023. "Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model," Energy Economics, Elsevier, vol. 120(C).
  40. Wu, Qihan & Yan, Dong & Umair, Muhammad, 2023. "Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1103-1114.
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