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Artificial bee colony-based combination approach to forecasting agricultural commodity prices 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2022, 卷号: 38, 期号: 1, 页码: 21-34
Authors:  Wang, Jue;  Wang, Zhen;  Li, Xiang;  Zhou, Hao
Favorite  |  View/Download:29/0  |  Submit date:2022/04/02
Agricultural commodity price  Forecast combination  Semi-heterogeneous combination  Artificial bee colony algorithm  Denoising technique  
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
Authors:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing
Favorite  |  View/Download:31/0  |  Submit date:2022/04/02
Gold  Forecasting  Autoregressive processes  Predictive models  Signal resolution  Deep learning  Mathematical model  Algorithmic trading  bidirectional gated recurrent unit (BiGRU)  gold futures price forecasting  variational mode decomposition (VMD)  
Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy 期刊论文
COMPUTATIONAL ECONOMICS, 2021, 页码: 22
Authors:  Zhan, Baoqiang;  Zhang, Shu;  Du, Helen S.;  Yang, Xiaoguang
Favorite  |  View/Download:37/0  |  Submit date:2022/04/02
Statistical arbitrage  Cointegration  Machine learning  Opportunities exploration  
User Grouping and Reflective Beamforming for IRS-Aided URLLC 期刊论文
IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 卷号: 10, 期号: 11, 页码: 2533-2537
Authors:  Xie, Hailiang;  Xu, Jie;  Liu, Ya-Feng;  Liu, Liang;  Ng, Derrick Wing Kwan
Favorite  |  View/Download:30/0  |  Submit date:2022/04/02
Ultra-reliable and low-latency communication (URLLC)  intelligent reflecting surface (IRS)  user grouping  reflective beamforming  
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
Authors:  Li, Yuze;  Jiang, Shangrong;  Li, Xuerong;  Wang, Shouyang
Favorite  |  View/Download:57/0  |  Submit date:2021/04/26
News sentiment  Returns and volatility forecasting  Variational mode decomposition  Deep learning  
沪深300股指期现货市场时变信息溢出因果检验-基于时变DCC-GARCH-Hong方法和LRSM断点检验 期刊论文
系统科学与数学, 2020, 卷号: 40, 期号: 11, 页码: 1901-1917
Authors:  朱莉;  陈占寿;  刘向丽;  杨晓光
Favorite  |  View/Download:55/0  |  Submit date:2021/04/26
Stock index futures  information spillover  time-varying DCC-GARCH-Hong causality test  LRSM breakpoint test  股指期货  信息溢出  时变DCC-GARCH-Hong因果检验  LRSM断点检验  
A hybrid VMD-BiGRU model for rubber futures time series forecasting 期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 84, 页码: 13
Authors:  Zhu, Qing;  Zhang, Fan;  Liu, Shan;  Wu, Yiqiong;  Wang, Lin
Favorite  |  View/Download:74/0  |  Submit date:2020/01/10
BiGRU  Rubber futures  Time series  VMD  Volatility prediction  
Crude oil price forecasting based on internet concern using an extreme learning machine 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2018, 卷号: 34, 期号: 4, 页码: 665-677
Authors:  Wang, Jue;  Athanasopoulos, George;  Hyndman, Rob J.;  Wang, Shouyang
Favorite  |  View/Download:98/0  |  Submit date:2018/11/16
Crude oil futures price  Internet concern  BEMD  ELM  
Do Trading Volume and Downside Trading Volume Help Forecast the Downside Risk? 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 8367-8382
Authors:  He, Zhifang;  Huang, Chuangxia;  Gong, Xu;  Yang, Xiaoguang;  Wen, Fenghua
Favorite  |  View/Download:74/0  |  Submit date:2018/07/30
downside realized semi variance  stock spot market  futures market  risk periods  forecasting power  
Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach 期刊论文
ENERGY ECONOMICS, 2015, 卷号: 51, 页码: 300-311
Authors:  Yu, Lean;  Li, Jingjing;  Tang, Ling;  Wang, Shuai
Favorite  |  View/Download:35/0  |  Submit date:2018/07/30
Bivariate empirical mode decomposition  Nonlinear Granger causality test  Multi-scale analysis  Carbon market  Crude oil market