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subject:"Theorie"
subject:"Zeitreihenanalyse"
~isPartOf:"Energy economics"
~person:"Ma, Feng"
~person:"Wagner, Andreas"
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ECONIS (ZBW)
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1
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:
2
Factor models in the German electricity market : stylized facts, seasonality, and calibration
Hinderks, Wieger Johan
;
Wagner, Andreas
- In:
Energy economics
85
(
2020
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012510288
Saved in:
3
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:
4
Pricing German Energiewende products : intraday cap/floor futures
Hinderks, W. J.
;
Wagner, Andreas
- In:
Energy economics
81
(
2019
),
pp. 287-296
Persistent link: https://www.econbiz.de/10012172724
Saved in:
5
Forecasting the prices of crude oil : an iterated combination approach
Zhang, Yaojie
;
Ma, Feng
;
Shi, Benshan
;
Huang, Dengshi
- In:
Energy economics
70
(
2018
),
pp. 472-483
Persistent link: https://www.econbiz.de/10011942869
Saved in:
6
Forecasting excess stock returns with crude oil market data
Liu, Li
;
Ma, Feng
;
Wang, Yudong
- In:
Energy economics
48
(
2015
),
pp. 316-324
Persistent link: https://www.econbiz.de/10011533825
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