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The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach 期刊论文
ENERGY ECONOMICS, 2021, 卷号: 95, 页码: 11
作者:  Li, Yuze;  Jiang, Shangrong;  Li, Xuerong;  Wang, Shouyang
收藏  |  浏览/下载：148/0  |  提交时间：2021/04/26
News sentiment  Returns and volatility forecasting  Variational mode decomposition  Deep learning  
Crude oil price analysis and forecasting: A perspective of "new triangle" 期刊论文
ENERGY ECONOMICS, 2020, 卷号: 87, 页码: 14
作者:  Lu, Quanying;  Li, Yuze;  Chai, Jian;  Wang, Shouyang
收藏  |  浏览/下载：195/0  |  提交时间：2020/06/30
Crude oil  Dynamic Bayesian structural time series model  Google trend  Kalman filtering  Spike and slab prior  Bayesian model average  
Market inefficiencies associated with pricing oil stocks during shocks 期刊论文
ENERGY ECONOMICS, 2019, 卷号: 81, 页码: 661-671
作者:  Qiao, Kenan;  Sun, Yuying;  Wang, Shouyang
收藏  |  浏览/下载：205/0  |  提交时间：2020/01/10
Crude oil shocks  Interval-valued factor pricing models  Market efficiency  Oil stocks  Quantile regression  
Interval decomposition ensemble approach for crude oil price forecasting 期刊论文
ENERGY ECONOMICS, 2018, 卷号: 76, 页码: 274-287
作者:  Sun, Shaolong;  Sun, Yuying;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：171/0  |  提交时间：2019/03/05
Bivariate empirical mode decomposition  Crude oil price forecasting  Interval-valued time series  Interval Holt's method  Interval neural networks  
Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method 期刊论文
ENERGY ECONOMICS, 2009, 卷号: 31, 期号: 5, 页码: 768-778
作者:  Zhang, Xun;  Yu, Lean;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：112/0  |  提交时间：2018/07/30
Crude oil price  Event analysis  Empirical mode decomposition  Impact of extreme events  
A new approach for crude oil price analysis based on Empirical Mode Decomposition 期刊论文
ENERGY ECONOMICS, 2008, 卷号: 30, 期号: 3, 页码: 905-918
作者:  Zhang, Xun;  Lai, K. K.;  Wang, Shou-Yang
收藏  |  浏览/下载：93/0  |  提交时间：2018/07/30
Empirical Mode Decomposition  crude oil price  forecasting  composition  volatility