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subject:"Volatility"
type_genre:"Article in journal"
~person:"Taylor, James W."
~source:"econis"
~type_genre:"Aufsatz in Zeitschrift"
~type_genre:"Government document"
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Volatility
Estimation theory
8
Schätztheorie
8
Forecasting model
6
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6
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4
Risk measure
4
Volatilität
4
Estimation
3
Schätzung
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2
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Article in journal
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Taylor, James W.
Kumar, Dilip
16
Maheswaran, S.
14
Li, Jia
12
Todorov, Viktor
12
Tauchen, George Eugene
10
Liu, Zhi
8
Teräsvirta, Timo
8
Andersen, Torben
7
Francq, Christian
7
Kim, Donggyu
7
Li, Yingying
7
Mykland, Per A.
7
Ghysels, Eric
6
Wang, Yazhen
6
Bollerslev, Tim
5
Fan, Jianqing
5
Hafner, Christian M.
5
Jing, Bingyi
5
Koopman, Siem Jan
5
Taylor, Stephen
5
Zakoïan, Jean-Michel
5
Arnerić, Josip
4
Aït-Sahalia, Yacine
4
Clements, Adam
4
Elliott, Robert J.
4
Fičura, Milan
4
Hwang, Eunju
4
Li, Wai Keung
4
Mancino, Maria Elvira
4
McAleer, Michael
4
Nolte, Ingmar
4
Park, Joon Y.
4
Rodriguez, Gabriel
4
Shin, Dong-wan
4
Silvennoinen, Annastiina
4
Song, Yuping
4
Sucarrat, Genaro
4
Wang, Jying-Nan
4
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Journal of forecasting
2
European journal of operational research : EJOR
1
International journal of forecasting
1
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ECONIS (ZBW)
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Estimating Value-at-Risk and Expected Shortfall using the intraday low and range data
Meng, Xiaochun
;
Taylor, James W.
- In:
European journal of operational research : EJOR
280
(
2020
)
1
,
pp. 191-202
Persistent link: https://www.econbiz.de/10012132379
Saved in:
2
An approximate long-memory range-based approach for value at risk estimation
Meng, Xiaochun
;
Taylor, James W.
- In:
International journal of forecasting
34
(
2018
)
3
,
pp. 377-388
Persistent link: https://www.econbiz.de/10012030985
Saved in:
3
Using CAViaR models with implied volatility for value-at-risk estimation
Jeon, Jooyoung
;
Taylor, James W.
- In:
Journal of forecasting
32
(
2013
)
1
,
pp. 62-74
Persistent link: https://www.econbiz.de/10009758719
Saved in:
4
Evaluating volatility and interval forecasts
Taylor, James W.
- In:
Journal of forecasting
18
(
1999
)
2
,
pp. 111-128
Persistent link: https://www.econbiz.de/10001368220
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