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1
Commodity systemic risk and macroeconomic predictions
Ouyang, Ruolan
;
Pei, Tiancheng
;
Fang, Yi
;
Zhao, Yang
- In:
Energy economics
138
(
2024
),
pp. 1-22
Persistent link: https://www.econbiz.de/10015182091
Saved in:
2
Network analysis of risk transmission among energy futures : an industrial chain perspective
Ouyang, Ruolan
;
Zhuang, Chengkai
;
Wang, Tingting
; …
- In:
Energy economics
107
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013202574
Saved in:
3
Allowance allocation matters in China's carbon emissions trading system
Jin, Yana
;
Liu, Xiaorui
;
Chen, Xiang
;
Dai, Hancheng
- In:
Energy economics
92
(
2020
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012520222
Saved in:
4
A new Malmquist-type green total factor productivity measure : an application to China
Chen, Xiang
;
Chen, Yong
;
Huang, Wenli
;
Zhang, Xuping
- In:
Energy economics
117
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014436392
Saved in:
5
Energy-saving R&D and carbon intensity in China
Huang, Junbing
;
Xiang, Shiqi
;
Wang, Yajun
;
Chen, Xiang
- In:
Energy economics
98
(
2021
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012874240
Saved in:
6
The risk spillover effect of the COVID-19 pandemic on energy sector : evidence from China
Si, Dengkui
;
Li, Xiao-Lin
;
Xu, XuChuan
;
Fang, Yi
- In:
Energy economics
102
(
2021
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013162430
Saved in:
7
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
Saved in:
8
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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