IDEAS home Printed from https://ideas.repec.org/r/eee/intfor/v39y2023i1p486-502.html

Forecasting crude oil market volatility using variable selection and common factor

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Yilun Zhang & Yuping Song & Ying Peng & Hanchao Wang, 2024. "Volatility forecasting incorporating intraday positive and negative jumps based on deep learning model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2749-2765, November.
  2. Rao, Amar & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Hossain, Mohammad Razib & Dev, Dhairya, 2025. "Crude oil Price forecasting: Leveraging machine learning for global economic stability," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
  3. Zhou, Mingtao & Ma, Yong, 2025. "Climate risk and predictability of global stock market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 101(C).
  4. Zhang, Feipeng & Gao, Hongfu & Yuan, Di, 2024. "The asymmetric effect of G7 stock market volatility on predicting oil price volatility: Evidence from quantile autoregression model," Journal of Commodity Markets, Elsevier, vol. 35(C).
  5. Lu, Xinjie & Ma, Feng & Guo, Qiang & Wang, Tianyang, 2025. "Financial risk management innovation in global commodity futures markets: A macroeconomic attention perspective," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
  6. Wei Zhou & Danxue Luo, 2026. "Decomposing, Learning, and Predicting Realized Volatilities: A Comparison Analysis From the Global Stock Markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(1), pages 135-155, January.
  7. Xiao, Jihong & Wang, Yudong & Wen, Danyan, 2023. "The predictive effect of risk aversion on oil returns under different market conditions," Energy Economics, Elsevier, vol. 126(C).
  8. Zhang, Yaojie & He, Mengxi & Liao, Cunfei & Wang, Yudong, 2023. "Climate risk exposure and the cross-section of Chinese stock returns," Finance Research Letters, Elsevier, vol. 55(PB).
  9. Malhotra, Priya & Kumar, Sanjeev & Gubareva, Mariya & Mendes, José Zorro, 2026. "Dynamic nexus of clean energy metals, energy commodities and traditional assets: Multidimensional techniques and portfolio analysis," Research in International Business and Finance, Elsevier, vol. 81(C).
  10. Ma, Tian & Li, Ganghui & Zhang, Huajing, 2024. "Stock return predictability using economic narrative: Evidence from energy sectors," Journal of Commodity Markets, Elsevier, vol. 35(C).
  11. Fameliti Stavroula & Skintzi Vasiliki, 2024. "Macroeconomic attention and commodity market volatility," Empirical Economics, Springer, vol. 67(5), pages 1967-2007, November.
  12. Vasiliki Skintzi & Stavroula P. Fameliti, 2025. "Combining realized volatility estimators based on economic performance," Journal of Asset Management, Palgrave Macmillan, vol. 26(7), pages 819-846, December.
  13. Bae, Juhee, 2024. "Factor-augmented forecasting in big data," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1660-1688.
  14. Guo, Yangli & Peng, Pei & Zhou, Ling & Tang, Yusui, 2025. "Forecasting volatility in commodity markets with climate risk," Finance Research Letters, Elsevier, vol. 78(C).
  15. Tiwari, Aviral Kumar & Sharma, Gagan Deep & Rao, Amar & Hossain, Mohammad Razib & Dev, Dhairya, 2024. "Unraveling the crystal ball: Machine learning models for crude oil and natural gas volatility forecasting," Energy Economics, Elsevier, vol. 134(C).
  16. Xiao, Jihong & Zhang, Jingyu & Zheng, Yan, 2025. "Geopolitical risks and oil market fear: Country-specific spillover effects," Research in International Business and Finance, Elsevier, vol. 77(PB).
  17. Ma, Feng & Cao, Jiawei, 2023. "The Chinese equity premium predictability: Evidence from a long historical data," Finance Research Letters, Elsevier, vol. 53(C).
  18. Wen, Danyan & Wang, Huihui & Wang, Yudong & Xiao, Jihong, 2024. "Crude oil futures and the short-term price predictability of petroleum products," Energy, Elsevier, vol. 307(C).
  19. Huang, Xiaozhou & Wang, Yubao & Song, Juan, 2023. "The Chinese oil futures volatility: Evidence from high-low estimator information," Finance Research Letters, Elsevier, vol. 56(C).
  20. Ke Yang & Xuebao Yin & Fengping Tian, 2026. "Forecasting Crude Oil Volatility With Geopolitical Risk: The RSV–MIDAS–GPR Model and Its Economic Value," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(5), pages 824-842, May.
  21. Lang, Qiaoqi & Li, Chenyu & Wen, Lixuan & Wu, Hanlin, 2025. "Biodiversity risk and agricultural futures markets," International Review of Financial Analysis, Elsevier, vol. 107(C).
  22. Yu, Yue & Wang, Jianzhou & Jiang, He & Lu, Haiyan, 2025. "How to manage a multifactor-driven crude oil market more effectively? A revisit based on the multiple criteria perspective," Resources Policy, Elsevier, vol. 100(C).
  23. Štefan Bojnec, 2023. "Electricity Markets, Electricity Prices and Green Energy Transition," Energies, MDPI, vol. 16(2), pages 1-4, January.
  24. Jiawen Luo & Qun Zhang, 2024. "Air pollution, weather factors, and realized volatility forecasts of agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 151-217, February.
  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. Lyócsa, Štefan & Todorova, Neda, 2024. "What drives the uranium sector risk? The role of attention, economic and geopolitical uncertainty," Energy Economics, Elsevier, vol. 140(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.