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Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model
Chen, Rongda; Xu, Jianjun - In: Energy economics 78 (2019), pp. 379-391
Persistent link: https://www.econbiz.de/10012159962
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Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
Yu, Lean; Wang, Shouyang; Lai, Kin Keung - In: Energy economics 30 (2008) 5, pp. 2623-2635
Persistent link: https://www.econbiz.de/10003773838
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Estimating the impact of extreme events on crude oil price : an EMD-based event analysis method
Zhang, Xun; Yu, Lean; Wang, Shouyang; Lai, Kin Keung - In: Energy economics 31 (2009) 5, pp. 768-778
Persistent link: https://www.econbiz.de/10003880277
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A compressed sensing based AI learning paradigm for crude oil price forecasting
Yu, Lean; Zhao, Yang; Tang, Ling - In: Energy economics 46 (2014), pp. 236-245
Persistent link: https://www.econbiz.de/10011298594
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A deep learning ensemble approach for crude oil price forecasting
Zhao, Yang; Li, Jianping; Yu, Lean - In: Energy economics 66 (2017), pp. 9-16
Persistent link: https://www.econbiz.de/10011896417
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Ensemble forecasting for complex time series using sparse representation and neural networks
Yu, Lean; Zhao, Yang; Tang, Ling - In: Journal of forecasting 36 (2017) 2, pp. 122-138
Persistent link: https://www.econbiz.de/10011729109
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Dependences and volatility spillovers between the oil and stock markets: new evidence from the copula and VAR-BEKK-GARCH models
Yu, Lean; Zha, Rui; Stafylas, Dimitrios; He, Kaijian; … - In: International review of financial analysis 68 (2020), pp. 1-14
Persistent link: https://www.econbiz.de/10012301075