Forecasting crude oil futures market returns: A principal component analysis combination approach
Citations
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- Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).
- 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.
- Ma, Feng & Guo, Yangli & Luo, Qin & Zhong, Juandan, 2025. "Forecasting corporate bond returns amid climate change risk: A dynamic forecast combination approach," Journal of International Money and Finance, Elsevier, vol. 154(C).
- Liu, Liping & Lü, Zheng & Yoon, Seong-Min, 2025. "Impact of policy uncertainty on stock market volatility in the China’s low-carbon economy," Energy Economics, Elsevier, vol. 141(C).
- Shi, Chunpei & Wei, Yu & Li, Xiafei & Liu, Yuntong, 2023. "Combination forecasts of China's oil futures returns based on multiple uncertainties and their connectedness with oil," Energy Economics, Elsevier, vol. 126(C).
- Yang Zhou & Chi Xie & Gang-Jin Wang & Jue Gong & You Zhu, 2025. "Forecasting cryptocurrency volatility: a novel framework based on the evolving multiscale graph neural network," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-52, December.
- Wang, Peng & Wang, Wentao & Jiang, Kai & Cheng, Yixin & Zhang, Tengxi & Li, Xuesong, 2025. "Modeling the coupling of China's multi-timescale electricity markets during the transition towards decarbonization and marketization," Energy, Elsevier, vol. 319(C).
- Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2025. "Forecasting gasoline prices using oil prices: New evidence based on the rocket and feather hypothesis," Energy, Elsevier, vol. 335(C).
- 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).
- Yuqing Feng & Yaojie Zhang, 2025. "Forecasting Realized Volatility: The Choice of Window Size," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 692-705, March.
- Chen, Qitong & Chen, Xingyi & Chen, Zhenrui, 2026. "Avoiding weak-factor selection in sPCA-based factor-augmented regression: An all subset-averaging perspective," Finance Research Letters, Elsevier, vol. 98(C).
- Jingzhu Wei & Tongrui Zhang, 2026. "A novel method to identify potential collaborators with a patent-based knowledge graph," The Journal of Technology Transfer, Springer, vol. 51(4), pages 2330-2366, August.
- Yuxin Shi & Chao Liang & Lu Wang, 2026. "Whether Uncertainty Theory Can Enhance GDP Forecasting From Energy: A New Uncertain MIDAS Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(3), pages 1158-1176, April.
- Xu, Yongan & Duong, Duy & Xu, Hualong, 2023. "Attention! Predicting crude oil prices from the perspective of extreme weather," Finance Research Letters, Elsevier, vol. 57(C).
- Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2023. "Forecasting crude oil prices: A reduced-rank approach," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 698-711.
- Mengxi He & Yudong Wang & Yaojie Zhang, 2023. "The predictability of iron ore futures prices: A product‐material lead–lag effect," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1289-1304, September.
- Kang Wang & Chao Qu & Jianzhou Wang & Zhiwu Li & Haiyan Lu, 2025. "Ensemble Multitask Prediction of Air Pollutants Time Series: Based on Variational Inference, Data Projection, and Generative Adversarial Network," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 646-675, March.
- 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.
- Gao, Shang & Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie, 2023. "Forecasting stock market volatility: The sum of the parts is more than the whole," Finance Research Letters, Elsevier, vol. 55(PA).
- Yongan Xu & Chao Liang, 2024. "Does extreme climate concern drive equity premiums? Evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
- 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).
- Wang, Jiqian & Chen, Chuang & Dai, Xingyu, 2025. "News topic attention and crude oil price predictability," International Review of Financial Analysis, Elsevier, vol. 108(PA).
- He, Mengxi & Zhang, Zhikai & Zhang, Yaojie, 2024. "Forecasting crude oil prices with global ocean temperatures," Energy, Elsevier, vol. 311(C).
- Ma, Yong & Li, Shuaibing & Zhou, Mingtao, 2024. "Forecasting crude oil prices: Does global financial uncertainty matter?," International Review of Economics & Finance, Elsevier, vol. 96(PC).
- 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.
- Huo, Songtao & Ni, Likun & Basheer, Muhammad Farhan & Al-Aiban, Khalid M. & Hassan, Saira Ghulam, 2024. "The role of fintech, mineral resource abundance, green energy and financial inclusion on ecological footprint in E7 countries: New insight from panel nonlinear ARDL cointegration approach," Resources Policy, Elsevier, vol. 94(C).
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