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person:"Swanson, Norman R."
subject:"Prognoseverfahren"
~isPartOf:"Finance research letters"
~person:"Han, Liyan"
~person:"McMillan, David G."
~subject:"Aktienmarkt"
~subject:"Volatility"
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Prognoseverfahren
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Swanson, Norman R.
Han, Liyan
McMillan, David G.
Gupta, Rangan
7
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Finance research letters
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ECONIS (ZBW)
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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
Stock return predictability in China : power of oil price trend
Cao, Zhen
;
Han, Liyan
;
Zhang, Qunzi
- In:
Finance research letters
47
(
2022
)
1
,
pp. 1-5
Persistent link: https://www.econbiz.de/10013457289
Saved in:
3
Fear in commodity return prediction
Cao, Zhen
;
Han, Liyan
;
Wei, Xinbei
;
Zhang, Qunzi
- In:
Finance research letters
46
(
2022
)
2
,
pp. 1-13
Persistent link: https://www.econbiz.de/10013342809
Saved in:
4
Time varying stock return predictability : evidence from US sectors
Guidolin, Massimo
;
McMillan, David G.
;
Wohar, Mark E.
- In:
Finance research letters
10
(
2013
)
1
,
pp. 34-40
Persistent link: https://www.econbiz.de/10009728606
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