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Oil price volatility predictability: New evidence from a scaled PCA approach

Citations

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Cited by:

  1. Wang, Weiwei & Gao, Pengpeng & Wang, Jiahaoran, 2023. "Nexus among digital inclusive finance and carbon neutrality: Evidence from company-level panel data analysis," Resources Policy, Elsevier, vol. 80(C).
  2. Gong, Xue & Lai, Ping & He, Mengxi & Wen, Danyan, 2024. "Climate risk and energy futures high frequency volatility prediction," Energy, Elsevier, vol. 307(C).
  3. Cai, Lu & Le, Thanh Tiep, 2023. "Natural resources and financial development: Role of corporate social responsibility on green economic growth in Vietnam," Resources Policy, Elsevier, vol. 81(C).
  4. Yan, Xiang & Bai, Jiancheng & Li, Xiafei & Chen, Zhonglu, 2022. "Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?," Resources Policy, Elsevier, vol. 75(C).
  5. Liu, Shan & Li, Ziwei, 2023. "Macroeconomic attention and oil futures volatility prediction," Finance Research Letters, Elsevier, vol. 57(C).
  6. Lang, Qiaoqi & Li, Chenyu & Wen, Lixuan & Wu, Hanlin, 2025. "Biodiversity risk and agricultural futures markets," International Review of Financial Analysis, Elsevier, vol. 107(C).
  7. Xiao, Jihong & Chen, Xian & Li, Yang & Wen, Fenghua, 2022. "Oil price uncertainty and stock price crash risk: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
  8. Pan, Shuiyang & Long, Suwan(Cheng) & Wang, Yiming & Xie, Ying, 2023. "Nonlinear asset pricing in Chinese stock market: A deep learning approach," International Review of Financial Analysis, Elsevier, vol. 87(C).
  9. Fan, Lina & Yang, Hao & Zhai, Jia & Zhang, Xiaotao, 2023. "Forecasting stock volatility during the stock market crash period: The role of Hawkes process," Finance Research Letters, Elsevier, vol. 55(PA).
  10. Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil market volatility: A comprehensive look at uncertainty variables," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1022-1041.
  11. Wang, Jiashun & Wang, Jiqian & Ma, Feng, 2024. "International commodity market and stock volatility predictability: Evidence from G7 countries," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 62-71.
  12. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
  13. Yi, Yongsheng & He, Mengxi & Zhang, Yaojie, 2022. "Out-of-sample prediction of Bitcoin realized volatility: Do other cryptocurrencies help?," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  14. Ting Zhang & Haibin Xie, 2026. "Stock Return Forecasting: A Supervised PCA With Selecting and Scaling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(2), pages 547-562, March.
  15. Fang, Puyi & Gao, Zhaoxing & Tsay, Ruey S., 2023. "Supervised kernel principal component analysis for forecasting," Finance Research Letters, Elsevier, vol. 58(PA).
  16. Fameliti Stavroula & Skintzi Vasiliki, 2024. "Macroeconomic attention and commodity market volatility," Empirical Economics, Springer, vol. 67(5), pages 1967-2007, November.
  17. Ma, Chenyao & Yan, Sheng, 2022. "Deep learning in the Chinese stock market: The role of technical indicators," Finance Research Letters, Elsevier, vol. 49(C).
  18. 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).
  19. Tian, Guangning & Peng, Yuchao & Du, Huancheng & Meng, Yuhao, 2024. "Forecasting crude oil returns in different degrees of ambiguity: Why machine learn better?," Energy Economics, Elsevier, vol. 139(C).
  20. Zhao, Huirong & Luo, Na, 2024. "Climate uncertainty and green index volatility: Empirical insights from Chinese financial markets," Finance Research Letters, Elsevier, vol. 60(C).
  21. Lashkaripour, Mohammadhossein, 2024. "Some stylized facts about bitcoin halving," Finance Research Letters, Elsevier, vol. 69(PB).
  22. Dong, Xin & Gong, Jinguo & Wang, Qin, 2025. "Environmental attention and the predictability of crude oil volatility: Evidence from a new MIDAS multifractal model," Energy Economics, Elsevier, vol. 143(C).
  23. Jixiang, Zhang & Feng, Ma, 2024. "Video apps user engagement and stock market volatility: Evidence from China," Finance Research Letters, Elsevier, vol. 64(C).
  24. Tang, Yusui & Guo, Yangli & Cao, Jiawei, 2026. "Energy market volatility prediction: Does climate risk matter?," International Review of Financial Analysis, Elsevier, vol. 109(C).
  25. Zhang, Hongwei & Wang, Wentao & Niu, Zibo, 2024. "Geopolitical risks and crude oil futures volatility: Evidence from machine learning," Resources Policy, Elsevier, vol. 98(C).
  26. Lu, Fei & Ma, Feng & Li, Pan & Huang, Dengshi, 2022. "Natural gas volatility predictability in a data-rich world," International Review of Financial Analysis, Elsevier, vol. 83(C).
  27. Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie & Wang, Qunwei, 2024. "Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors," Energy Economics, Elsevier, vol. 133(C).
  28. Chen, Louisa & Verousis, Thanos & Wang, Kai & Zhou, Zhiping, 2023. "Financial stress and commodity price volatility," Energy Economics, Elsevier, vol. 125(C).
  29. Ma, Feng & Guo, Yangli & Chevallier, Julien & Huang, Dengshi, 2022. "Macroeconomic attention, economic policy uncertainty, and stock volatility predictability," International Review of Financial Analysis, Elsevier, vol. 84(C).
  30. Yuan Zhao & Xue Gong & Weiguo Zhang & Weijun Xu, 2025. "Stock return forecasting based on the proxy variables of category factors," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-48, December.
  31. Zhang, Li & Wang, Lu & Nguyen, Thong Trung & Ren, Ruiyi, 2024. "Volatility forecasting of clean energy ETF using GARCH-MIDAS with neural network model," Finance Research Letters, Elsevier, vol. 70(C).
  32. Likun Lei & Mengxi He & Yi Zhang & Yaojie Zhang, 2025. "Forecasting Chinese Stock Market Volatility With Volatilities in Bond Markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 547-555, March.
  33. Zhang, Li & Li, Yan & Yu, Sixin & Wang, Lu, 2023. "Risk transmission of El Niño-induced climate change to regional Green Economy Index," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 860-872.
  34. Xue Gong & Weiguo Zhang & Weijun Xu & Zhe Li, 2022. "Uncertainty index and stock volatility prediction: evidence from international markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-44, December.
  35. Mehmet Sarıkoç & Mete Celik, 2025. "PCA-ICA-LSTM: A Hybrid Deep Learning Model Based on Dimension Reduction Methods to Predict S&P 500 Index Price," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2249-2315, April.
  36. Harrison, Andre & Liu, Xiaochun & Stewart, Shamar L., 2023. "Structural sources of oil market volatility and correlation dynamics," Energy Economics, Elsevier, vol. 121(C).
  37. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.
  38. Li, Zepei & Ma, Feng & Lu, Xinjie, 2025. "Financial risk management innovation in energy market: Evidence from a machine learning hybrid model," Energy Economics, Elsevier, vol. 144(C).
  39. Haisheng Yu & Shenhui Song, 2025. "Natural Gas Futures Price Prediction Based on Variational Mode Decomposition–Gated Recurrent Unit/Autoencoder/Multilayer Perceptron–Random Forest Hybrid Model," Sustainability, MDPI, vol. 17(6), pages 1-23, March.
  40. Zhiping Zhou & Kai Wang, 2026. "More Attention to Macroeconomic Risks and Better Forecasting of Energy Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(4), pages 738-753, April.
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