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科研机构
数学与系统科学研究院 [5]
地理科学与资源研究所 [1]
内容类型
期刊论文 [6]
发表日期
2021 [6]
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A novel multiscale forecasting model for crude oil price time series
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15
作者:
Li, Ranran
;
Hu, Yucai
;
Heng, Jiani
;
Chen, Xueli
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/04/02
Crude oil price forecasting
Decomposition-ensemble method
Support vector machine
Multiscale strategy
Complexity analysis
A New Two-Stage Approach with Boosting and Model Averaging for Interval-Valued Crude Oil Prices Forecasting in Uncertainty Environments
期刊论文
FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9, 页码: 11
作者:
Huang, Bai
;
Sun, Yuying
;
Wang, Shouyang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
crude oil prices forecasting
forecast combination
interval-valued time series
model averaging
vector L2-boosting
Forecasting crude oil price intervals and return volatility via autoregressive conditional interval models
期刊论文
ECONOMETRIC REVIEWS, 2021, 卷号: 40, 期号: 6, 页码: 584-606
作者:
He, Yanan
;
Han, Ai
;
Hong, Yongmiao
;
Sun, Yuying
;
Wang, Shouyang
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  |  
浏览/下载:54/0
  |  
提交时间:2021/10/26
ACI model
interval-valued crude oil prices
range
trading strategy
volatility forecast
Do credit conditions matter for the impact of oil price shocks on stock returns? Evidence from a structural threshold VAR model
期刊论文
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2021, 卷号: 72, 页码: 1-15
作者:
Jiang, Yong
;
Wang, Gang-Jin
;
Ma, Chaoqun
;
Yang, Xiaoguang
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  |  
浏览/下载:31/0
  |  
提交时间:2021/04/26
Oil price shocks
Stock returns
Credit regimes
Structure threshold VAR
Nonlinear impulse response functions
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
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  |  
浏览/下载:26/0
  |  
提交时间:2021/04/26
News sentiment
Returns and volatility forecasting
Variational mode decomposition
Deep learning
Offshore Hydrocarbon Exploitation Observations from VIIRS NTL Images: Analyzing the Intensity Changes and Development Trends in the South China Sea from 2012 to 2019
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 23
作者:
Wang, Qi
;
Wu, Wenzhou
;
Su, Fenzhen
;
Xiao, Han
;
Wu, Yutong
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  |  
浏览/下载:17/0
  |  
提交时间:2021/06/10
offshore hydrocarbon exploitation
VIIRS NTL images
target recognition
feature increment
random forest
the South China Sea
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