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~isPartOf:"Finance research letters"
~person:"Aizenman, Joshua"
~person:"Andersen, Torben"
~person:"Asai, Manabu"
~person:"Hautsch, Nikolaus"
~person:"Ma, Feng"
~person:"McMillan, David G."
~person:"Mumtaz, Haroon"
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Search: subject_exact:"Volatilität"
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Forecasting model
4
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Aizenman, Joshua
Andersen, Torben
Asai, Manabu
Hautsch, Nikolaus
Ma, Feng
McMillan, David G.
Mumtaz, Haroon
Bouri, Elie
10
Roubaud, David
9
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Finance research letters
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ECONIS (ZBW)
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1
Do extreme range estimators improve realized volatility forecasts? : evidence from G7 Stock Markets
Korkusuz, Burak
;
Kambouroudis, Dimos
;
McMillan, David G.
- In:
Finance research letters
55
(
2023
)
2
,
pp. 1-7
Persistent link: https://www.econbiz.de/10014473523
Saved in:
2
Oil futures volatility predictability : evidence based on Twitter-based uncertainty
Lang, Qiaoqi
;
Lu, Xinjie
;
Ma, Feng
;
Huang, Dengshi
- In:
Finance research letters
47
(
2022
)
1
,
pp. 1
Persistent link: https://www.econbiz.de/10013457290
Saved in:
3
Bitcoin volatility predictability : the role of jumps and regimes
Qian, Lihua
;
Wang, Jiqian
;
Ma, Feng
;
Li, Ziyang
- In:
Finance research letters
47
(
2022
)
2
,
pp. 1-8
Persistent link: https://www.econbiz.de/10013553653
Saved in:
4
The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic
Li, Yan
;
Liang, Chao
;
Ma, Feng
;
Wang, Jiqian
- In:
Finance research letters
36
(
2020
),
pp. 1-7
Persistent link: https://www.econbiz.de/10012484308
Saved in:
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