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~isPartOf:"Energy economics"
~language:"eng"
~language:"mkd"
~language:"nor"
~language:"ron"
~person:"Caliendo, Marco"
~person:"Fitzenberger, Bernd"
~person:"Hoekman, Bernard M."
~person:"Lechner, Michael"
~person:"Ma, Feng"
~person:"Pierdzioch, Christian"
~source:"econis"
~subject:"Forecasting model"
~subject:"Germany"
~subject:"Kapitaleinkommen"
~subject:"United States"
~subject:"Welt"
~subject:"Wirkungsanalyse"
~type_genre:"Article in journal"
~type_genre:"Aufsatz im Buch"
~type_genre:"Aufsatz in Zeitschrift"
~type_genre:"Bibliography included"
~type_genre:"Book section"
~type_genre:"Collection of articles of several authors"
~type_genre:"Working Paper"
~type_genre:"Übersichtsarbeit"
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Forecasting model
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Caliendo, Marco
Fitzenberger, Bernd
Hoekman, Bernard M.
Lechner, Michael
Ma, Feng
Pierdzioch, Christian
Hammoudeh, Shawkat
28
Gupta, Rangan
20
Tiwari, Aviral Kumar
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International journal of forecasting
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5
Empirical economics : a quarterly journal of the Institute for Advanced Studies
5
Journal of world trade : law, economic policy, public policy
5
SOEP papers on multidisciplinary panel data research / German Socio-Economic Panel Study (SOEP), DIW Berlin
5
Scottish journal of political economy : the journal of the Scottish Economic Society
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ECONIS (ZBW)
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1
INE oil futures volatility prediction : exchange rates or international oil futures volatility?
Lu, Xinjie
;
Ma, Feng
;
Li, Haibo
;
Wang, Jianqiong
- In:
Energy economics
126
(
2023
),
pp. 1-8
Persistent link: https://www.econbiz.de/10014483407
Saved in:
2
Which exogenous driver is informative in forecasting European carbon volatility : bond, commodity, stock or uncertainty?
Wang, Jiqian
;
Guo, Xiaozhu
;
Tan, Xueping
;
Chevallier, Julien
- In:
Energy economics
117
(
2023
),
pp. 1-16
Persistent link: https://www.econbiz.de/10014437106
Saved in:
3
Forecasting the realized variance of oil-price returns using machine learning : is there a role for U.S. state-level uncertainty?
Çepni, Oğuzhan
;
Gupta, Rangan
;
Pienaar, Daniel
; …
- In:
Energy economics
114
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013477404
Saved in:
4
An oil futures volatility forecast perspective on the selection of high-frequency jump tests
Li, Xiafei
;
Liao, Yin
;
Lu, Xinjie
;
Ma, Feng
- In:
Energy economics
116
(
2022
),
pp. 1-18
Persistent link: https://www.econbiz.de/10013542124
Saved in:
5
Oil price volatility predictability : new evidence from a scaled PCA approach
Guo, Yangli
;
He, Feng
;
Liang, Chao
;
Ma, Feng
- In:
Energy economics
105
(
2022
),
pp. 1-9
Persistent link: https://www.econbiz.de/10013201946
Saved in:
6
The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic
Niu, Zibo
;
Ma, Feng
;
Zhang, Hongwei
- In:
Energy economics
112
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013350769
Saved in:
7
Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions
Wang, Jiqian
;
Ma, Feng
;
Bouri, Elie
;
Zhong, Juandan
- In:
Energy economics
108
(
2022
),
pp. 1-13
Persistent link: https://www.econbiz.de/10013203098
Saved in:
8
Do oil-price shocks predict the realized variance of U.S. REITs?
Bonato, Matteo
;
Çepni, Oğuzhan
;
Gupta, Rangan
; …
- In:
Energy economics
104
(
2021
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013364407
Saved in:
9
Oil shocks and stock market volatility : new evidence
Lu, Xinjie
;
Ma, Feng
;
Wang, Jiqian
;
Zhu, Bo
- In:
Energy economics
103
(
2021
),
pp. 1-11
Persistent link: https://www.econbiz.de/10013364063
Saved in:
10
Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? : new evidence
Wang, Jiqian
;
Huang, Yisu
;
Ma, Feng
;
Chevallier, Julien
- In:
Energy economics
91
(
2020
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012518664
Saved in:
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