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isPartOf:"Energy policy"
~isPartOf:"Applied economics"
~isPartOf:"Energy economics"
~isPartOf:"International review of economics & finance : IREF"
~subject:"Forecasting model"
~subject:"Schätzung"
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Forecasting model
Schätzung
Commodity derivative
390
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390
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226
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226
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223
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Ma, Feng
12
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Energy policy
Applied economics
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International review of economics & finance : IREF
The journal of futures markets
51
Economic modelling
29
Finance research letters
23
Journal of international money and finance
21
International review of financial analysis
19
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17
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91
Asymmetric volatility spillovers between crude oil and international financial markets
Wang, Xunxiao
;
Wu, Chongfeng
- In:
Energy economics
74
(
2018
),
pp. 592-604
Persistent link: https://www.econbiz.de/10011972941
Saved in:
92
Markov switching GARCH models for Bayesian hedging on energy futures markets
Billio, Monica
;
Casarin, Roberto
;
Osuntuyi, Anthony
- In:
Energy economics
70
(
2018
),
pp. 545-562
Persistent link: https://www.econbiz.de/10011942887
Saved in:
93
Which determinant is the most informative in forecasting crude oil market volatility : fundamental, speculation, or uncertainty?
Wei, Yu
;
Liu, Jing
;
Lai, Xiaodong
;
Hu, Yang
- In:
Energy economics
68
(
2017
),
pp. 141-150
Persistent link: https://www.econbiz.de/10011905038
Saved in:
94
Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?
Ma, Feng
;
Wahab, M. I. M.
;
Liu, Jing
;
Liu, Li
- In:
Applied economics
50
(
2018
)
18
,
pp. 2087-2101
Persistent link: https://www.econbiz.de/10011849647
Saved in:
95
Are the S&P 500 index and crude oil, natural gas and ethanol futures related for intra-day data?
Caporin, Massimiliano
;
Chang, Chia-Lin
;
McAleer, Michael
- In:
International review of economics & finance : IREF
59
(
2019
),
pp. 50-70
Persistent link: https://www.econbiz.de/10012202481
Saved in:
96
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:
97
Investor attention and crude oil prices : evidence from nonlinear Granger causality tests
Li, Sufang
;
Zhang, Hu
;
Yuan, Di
- In:
Energy economics
84
(
2019
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012183252
Saved in:
98
Ask CARL : forecasting tail probabilities for energy commodities
Algieri, Bernardina
;
Leccadito, Arturo
- In:
Energy economics
84
(
2019
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012183384
Saved in:
99
Covariance breakdowns and connectedness of crude oil futures markets with non-synchronous data
Luo, Jiawen
;
Chen, Langnan
;
Zhang, Weiguo
- In:
Applied economics
51
(
2019
)
5
,
pp. 422-443
Persistent link: https://www.econbiz.de/10012160576
Saved in:
100
The heterogeneous dependence between global crude oil and Chinese commodity futures markets : evidence from quantile regression
Zhu, Huiming
;
Duan, Rong
;
Peng, Cheng
;
Jia, Xianghua
- In:
Applied economics
51
(
2019
)
28
,
pp. 3031-3048
Persistent link: https://www.econbiz.de/10012196782
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