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Forecasting China's stock market volatility with shrinkage method : can Adaptive Lasso select stronger predictors from numerous predictors?
Liang, Chao; Xu, Yongan; Chen, Zhonglu; Li, Xiafei - In: International journal of finance & economics : IJFE 28 (2023) 4, pp. 3689-3699
Persistent link: https://www.econbiz.de/10014429165
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Can the return connectedness indices from grey energy to natural gas help to forecast the natural gas returns?
Luo, Keyu; Guo, Qiang; Li, Xiafei - In: Energy economics 109 (2022), pp. 1-21
Persistent link: https://www.econbiz.de/10013283751
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Uncertainty and crude oil market volatility : new evidence
Liang, Chao; Wei, Yu; Li, Xiafei; Zhang, Xuhui; Zhang, … - In: Applied economics 52 (2020) 27, pp. 2945-2959
Persistent link: https://www.econbiz.de/10012221463
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Does crude oil futures price really help to predict spot oil price? : new evidence from density forecasting
Bai, Lan; Li, Xiafei; Wei, Yu; Wei, Guiwu - In: International journal of finance & economics : IJFE 27 (2022) 3, pp. 3694-3712
Persistent link: https://www.econbiz.de/10013330741
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Which uncertainty is powerful to forecast crude oil market volatility? : new evidence
Li, Xiafei; Wei, Yu; Chen, Xiaodan; Ma, Feng; Liang, Chao; … - In: International journal of finance & economics : IJFE 27 (2022) 4, pp. 4279-4297
Persistent link: https://www.econbiz.de/10013461327
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Are categorical EPU indices predictable for carbon futures volatility? : Evidence from the machine learning method
Guo, Xiaozhu; Huang, Dengshi; Li, Xiafei; Liang, Chao - In: International review of economics & finance : IREF 83 (2023), pp. 672-693
Persistent link: https://www.econbiz.de/10014246784
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Forecasting crude oil volatility with uncertainty indicators : new evidence
Li, Xiafei; Liang, Chao; Chen, Zhonglu; Umar, Muhammad - In: Energy economics 108 (2022), pp. 1-19
Persistent link: https://www.econbiz.de/10013203032
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Which predictor is more predictive for Bitcoin volatility? : and why?
Liang, Chao; Zhang, Yaojie; Li, Xiafei; Ma, Feng - In: International journal of finance & economics : IJFE 27 (2022) 2, pp. 1947-1961
Persistent link: https://www.econbiz.de/10013184415
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An oil futures volatility forecast perspective on the selection of high-frequency jump tests
Li, Xiafei; Liao, Yin; Lu, Xinjie; Ma, Feng - In: Energy economics 116 (2022), pp. 1-18
Persistent link: https://www.econbiz.de/10013542124
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Combination forecasts of China's oil futures returns based on multiple uncertainties and their connectedness with oil
Shi, Chunpei; Wei, Yu; Li, Xiafei; Liu, Yuntong - In: Energy economics 126 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014487439