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~subject:"Prognoseverfahren"
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Prognoseverfahren
China
103
Greenhouse gas emissions
42
Treibhausgas-Emissionen
42
Welt
23
World
23
Energy consumption
22
Forecasting model
22
Oil price
22
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21
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20
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19
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19
Theorie
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Theory
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16
Energiekonsum
16
Energy conservation
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CO2 emissions
14
Energieeinsparung
13
Impact assessment
12
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12
Volatilität
12
Data envelopment analysis
11
Oil market
11
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11
Wirkungsanalyse
11
Ölmarkt
11
Data-Envelopment-Analyse
10
Pollution
10
Umweltbelastung
10
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9
ARCH-Modell
9
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9
EU ETS
9
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9
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English
22
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Zhang, Yue-jun
12
Wei, Yi-Ming
11
Zhu, Bangzhu
5
Wang, Ping
4
Zhang, Han
4
Chevallier, Julien
3
Gupta, Rangan
2
Yao, Ting
2
Ye, Shunxin
2
Cai, Jia-Wei
1
Chang, Jun-Jie
1
Cheng, Fangzheng
1
Chu, Xianghua
1
Fan, Tijun
1
Fan, Ying
1
He, Huangda
1
He, Kaijian
1
He, Ling-yun
1
Li, Li
1
Li, Tian
1
Li, Zhao-Chen
1
Liao, Hua
1
Mi, Zhifu
1
Qin, Quande
1
Ripple, Ronald D.
1
Shi, Xuetao
1
Tsai, Hsien-tang
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Wang, Jin-Li
1
Wu, Tong
1
Xie, Kangqiang
1
Xing, Li-Min
1
Yang, Dong-Wei
1
Zhang, Jin-Liang
1
Zhang, Lu
1
Zhang, Tao
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Zhang, Yuan-Yuan
1
Zhao, Lu-Tao
1
Zheng, Zhi-Yi
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Energy economics
7
International review of economics & finance : IREF
2
International review of financial analysis
2
Journal of forecasting
2
Computational economics
1
Department of Economics working paper series
1
Financial innovation : FIN
1
International financial markets
1
Journal of policy modeling : JPMOD ; a social science forum of world issues
1
Omega : the international journal of management science
1
Structural change and economic dynamics : SC+ED
1
Technological forecasting & social change : an international journal
1
The energy journal
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ECONIS (ZBW)
22
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1
Spillover effect of US dollar exchange rate on oil prices
Zhang, Yue-jun
;
Fan, Ying
;
Tsai, Hsien-tang
;
Wei, Yi-Ming
- In:
Journal of policy modeling : JPMOD ; a social science …
30
(
2008
)
6
,
pp. 973-991
Persistent link: https://www.econbiz.de/10003805173
Saved in:
2
A novel hybrid method for crude oil price forecasting
Zhang, Jin-Liang
;
Zhang, Yue-jun
;
Zhang, Lu
- In:
Energy economics
49
(
2015
),
pp. 649-659
Persistent link: https://www.econbiz.de/10011537246
Saved in:
3
Forecasting the Artificial Intelligence index returns : a hybrid approach
Zhang, Yue-jun
;
Zhang, Han
;
Gupta, Rangan
-
2021
Persistent link: https://www.econbiz.de/10012692569
Saved in:
4
Forecasting the stock returns of Chinese oil companies : can investor attention help?
Zhang, Yue-jun
;
Li, Zhao-Chen
- In:
International review of economics & finance : IREF
76
(
2021
),
pp. 531-555
Persistent link: https://www.econbiz.de/10013176951
Saved in:
5
Forecasting crude oil price dynamics based on investor attention : evidence from the ARMAX and ARMAX-GARCH models
Yao, Ting
;
Zhang, Yue-jun
- In:
International financial markets
,
(pp. 36-60)
.
2019
Persistent link: https://www.econbiz.de/10012249019
Saved in:
6
Volatility forecasting of crude oil market : can the regime switching GARCH model beat the single-regime GARCH models?
Zhang, Yue-jun
;
Yao, Ting
;
He, Ling-yun
;
Ripple, Ronald D.
- In:
International review of economics & finance : IREF
59
(
2019
),
pp. 302-317
Persistent link: https://www.econbiz.de/10012202881
Saved in:
7
Do high-frequency stock market data help forecast crude oil prices? : evidence from the MIDAS models
Zhang, Yue-jun
;
Wang, Jin-Li
- In:
Energy economics
78
(
2019
),
pp. 192-201
Persistent link: https://www.econbiz.de/10012159923
Saved in:
8
Volatility forecasting of crude oil futures market : which structural change-based HAR models have better performance?
Zhang, Yue-jun
;
Zhang, Han
- In:
International review of financial analysis
85
(
2023
),
pp. 1-10
Persistent link: https://www.econbiz.de/10014234971
Saved in:
9
Forecasting crude oil prices with shrinkage methods : can nonconvex penalty and Huber loss help?
Xing, Li-Min
;
Zhang, Yue-jun
- In:
Energy economics
110
(
2022
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013349910
Saved in:
10
Volatility forecasting of crude oil market : which structural change based GARCH models have better performance?
Zhang, Yue-jun
;
Zhang, Han
- In:
The energy journal
44
(
2023
)
1
,
pp. 175-193
Persistent link: https://www.econbiz.de/10013542058
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