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~isPartOf:"International journal of forecasting"
~subject:"Bayes-Statistik"
~subject:"Volatility forecasting"
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Bayes-Statistik
Volatility forecasting
Volatility
140
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140
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118
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118
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73
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73
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International journal of forecasting
Energy economics
47
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ECONIS (ZBW)
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1
Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage
Gefang, Deborah
;
Koop, Gary
;
Poon, Aubrey
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 346-363
Persistent link: https://www.econbiz.de/10014462786
Saved in:
2
Forecasting crude oil market volatility using variable selection and common factor
Zhang, Yaojie
;
Wahab, M. I. M.
;
Wang, Yudong
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 486-502
Persistent link: https://www.econbiz.de/10014462793
Saved in:
3
Global economic policy uncertainty aligned : an informative predictor for crude oil market volatility
Zhang, Yaojie
;
He, Mengxi
;
Wang, Yudong
;
Liang, Chao
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1318-1332
Persistent link: https://www.econbiz.de/10014465282
Saved in:
4
Conditional value-at-risk forecasts of an optimal foreign currency portfolio
Kim, Dongwhan
;
Kang, Kyu Ho
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 838-861
Persistent link: https://www.econbiz.de/10012792873
Saved in:
5
Forecasting the volatility of asset returns : the informational gains from option prices
Martin, Vance
;
Tang, Chrismin
;
Yao, Wenying
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 862-880
Persistent link: https://www.econbiz.de/10012792874
Saved in:
6
Minnesota-type adaptive hierarchical priors for large Bayesian VARs
Chan, Joshua
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1212-1226
Persistent link: https://www.econbiz.de/10012794844
Saved in:
7
Variational Bayes approximation of factor stochastic volatility models
Gunawan, David
;
Kohn, Robert
;
Nott, David
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1355-1375
Persistent link: https://www.econbiz.de/10013274279
Saved in:
8
Identification of volatility proxies as expectations of squared financial returns
Sucarrat, Genaro
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1677-1690
Persistent link: https://www.econbiz.de/10013274330
Saved in:
9
Volatility forecasting in European government bond markets
Özbekler, Ali Gencay
;
Kontonikas, Alexandros
; …
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1691-1709
Persistent link: https://www.econbiz.de/10013274332
Saved in:
10
Oil price shocks and economic growth : the volatility link
Maheu, John M.
;
Song, Yong
;
Yang, Qiao
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 570-587
Persistent link: https://www.econbiz.de/10012415259
Saved in:
11
Forecasting stock price volatility : new evidence from the GARCH-MIDAS model
Wang, Lu
;
Ma, Feng
;
Liu, Jing
;
Yang, Lin
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 684-694
Persistent link: https://www.econbiz.de/10012415334
Saved in:
12
The term structure of volatility predictability
Li, Xingyi
;
Zakamulin, Valeriy
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 723-737
Persistent link: https://www.econbiz.de/10012415339
Saved in:
13
Realized volatility forecast with the Bayesian random compressed multivariate HAR model
Luo, Jiawen
;
Chen, Langnan
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 781-799
Persistent link: https://www.econbiz.de/10012496859
Saved in:
14
Macroeconomic forecasting with large Bayesian VARs : global-local priors and the illusion of sparsity
Cross, Jamie
;
Hou, Chenghan
;
Poon, Aubrey
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 899-915
Persistent link: https://www.econbiz.de/10012497058
Saved in:
15
Assessing the uncertainty in central banks' inflation outlooks
Knüppel, Malte
;
Schultefrankenfeld, Guido
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1748-1769
Persistent link: https://www.econbiz.de/10012305527
Saved in:
16
MGARCH models: trade-off between feasibility and flexibility
Almeida, Daniel de
;
Hotta, Luiz K.
;
Ruiz, Esther
- In:
International journal of forecasting
34
(
2018
)
1
,
pp. 45-63
Persistent link: https://www.econbiz.de/10012030840
Saved in:
17
Dynamics of financial returns densities : a functional approach applied to the Bovespa intraday index
Horta, Eduardo
;
Ziegelmann, Flávio A.
- In:
International journal of forecasting
34
(
2018
)
1
,
pp. 75-88
Persistent link: https://www.econbiz.de/10012030843
Saved in:
18
Forecasting realized variance measures using time-varying coefficient models
Bekierman, Jeremias
;
Manner, Hans
- In:
International journal of forecasting
34
(
2018
)
2
,
pp. 276-287
Persistent link: https://www.econbiz.de/10012030902
Saved in:
19
Threshold stochastic volatility : properties and forecasting
Mao, Xiuping
;
Ruiz, Esther
;
Veiga, Helena
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 1105-1123
Persistent link: https://www.econbiz.de/10011746949
Saved in:
20
Forecasting with VAR models : fat tails and stochastic volatility
Chiu, Ching Wai Jeremy
;
Mumtaz, Haroon
;
Pintér, Gábor
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 1124-1143
Persistent link: https://www.econbiz.de/10011746951
Saved in:
21
Combining nearest neighbor predictions and model-based predictions of realized variance : does it pay?
Andrada Félix, Julián
;
Fernández Rodríguez, Fernando
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 695-715
Persistent link: https://www.econbiz.de/10011621779
Saved in:
22
Density forecasting using Bayesian global vector autoregressions with stochastic volatility
Huber, Florian
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 818-837
Persistent link: https://www.econbiz.de/10011621824
Saved in:
23
Low and high prices can improve volatility forecasts during periods of turmoil
Fiszeder, Piotr
;
Perczak, Grzegorz
- In:
International journal of forecasting
32
(
2016
)
2
,
pp. 398-410
Persistent link: https://www.econbiz.de/10011597123
Saved in:
24
Forecasting zero-inflated price changes with a Markov switching mixture model for autoregressive and heteroscedastic time series
Kömm, Holger
;
Küsters, Ulrich
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 598-608
Persistent link: https://www.econbiz.de/10011474425
Saved in:
25
Volatility forecasting : the role of lunch-break returns, overnight returns, trading volume and leverage effects
Wang, Xunxiao
;
Wu, Chongfeng
;
Xu, Weidong
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 609-619
Persistent link: https://www.econbiz.de/10011474428
Saved in:
26
Forecasting realized volatility with changing average levels
Gallo, Giampiero M.
;
Otranto, Edoardo
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 620-634
Persistent link: https://www.econbiz.de/10011474431
Saved in:
27
Testing causality between two vectors in multivariate GARCH models
Woźniak, Tomasz
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 876-894
Persistent link: https://www.econbiz.de/10011474616
Saved in:
28
Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models
Zhou, Xiaocong
;
Nakajima, Jouchi
;
West, Mike
- In:
International journal of forecasting
30
(
2014
)
4
,
pp. 963-980
Persistent link: https://www.econbiz.de/10010517774
Saved in:
29
Forecasting daily return densities from intraday data : a multifractal approach
Hallam, Mark
;
Olmo, Jose
- In:
International journal of forecasting
30
(
2014
)
4
,
pp. 863-881
Persistent link: https://www.econbiz.de/10010517781
Saved in:
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