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International journal of forecasting
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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
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2
Volatility analysis for the GARCH-Itô-Jumps model based on high-frequency and low-frequency financial data
Fu, Jin-Yu
;
Lin, Jin-Guan
;
Hao, Hong-Xia
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1698-1712
Persistent link: https://www.econbiz.de/10014465345
Saved in:
3
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:
4
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:
5
Intraday portfolio risk management using VaR and CVaR : a CGARCH-EVT-Copula approach
Karmakar, Madhusudan
;
Paul, Samit
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 699-709
Persistent link: https://www.econbiz.de/10012300717
Saved in:
6
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:
7
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
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