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~isPartOf:"Applied financial economics"
~isPartOf:"Energy economics"
~person:"Ma, Feng"
~subject:"Forecasting model"
~subject:"Theory"
~subject:"United Kingdom"
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ECONIS (ZBW)
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1
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:
2
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
Saved in:
3
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:
4
Good, bad cojumps and volatility forecasting : new evidence from crude oil and the U.S. stock markets
Chen, Yixiang
;
Ma, Feng
;
Zhang, Yaojie
- In:
Energy economics
81
(
2019
),
pp. 52-62
Persistent link: https://www.econbiz.de/10012172656
Saved in:
5
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
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