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1
Time-varying trend models for forecasting
inflation
in Australia
Guo, Na
;
Zhang, Bo
;
Cross, Jamie
- In:
Journal of forecasting
41
(
2022
)
2
,
pp. 316-330
Persistent link: https://www.econbiz.de/10012817762
Saved in:
2
An infinite hidden Markov model with stochastic
volatility
Li, Chenxing
;
Maheu, John M.
;
Yang, Qiao
- In:
Journal of forecasting
43
(
2024
)
6
,
pp. 2187-2211
Persistent link: https://www.econbiz.de/10015110400
Saved in:
3
Bayesian analysis of a threshold stochastic
volatility
model
Wirjanto, Tony S.
;
Kolkiewicz, Adam W.
;
Men, Zhongxian
- In:
Journal of forecasting
35
(
2016
)
5
,
pp. 462-476
Persistent link: https://www.econbiz.de/10011580989
Saved in:
4
A Bayesian realized threshold measurement GARCH framework for financial tail
risk
forecasting
Wang, Chao
;
Gerlach, Richard
- In:
Journal of forecasting
43
(
2024
)
1
,
pp. 40-57
Persistent link: https://www.econbiz.de/10014443184
Saved in:
5
Bayesian Markov switching model for BRICS currencies' exchange rates
Kumar, Utkarsh
;
Ahmad, Wasim
;
Uddin, Mohammed Gazi Salah
- In:
Journal of forecasting
43
(
2024
)
6
,
pp. 2322-2340
Persistent link: https://www.econbiz.de/10015110450
Saved in:
6
Real-time forecasting of the Australian macroeconomy using flexible Bayesian VARs
Hou, Chenghan
;
Nguyen, Bao
;
Zhang, Bo
- In:
Journal of forecasting
42
(
2023
)
2
,
pp. 418-451
Persistent link: https://www.econbiz.de/10014292196
Saved in:
7
Realized
volatility
forecast of stock index under structural breaks
Yang, Ke
;
Chen, Langnan
;
Tian, Fengping
- In:
Journal of forecasting
34
(
2015
)
1
,
pp. 57-82
Persistent link: https://www.econbiz.de/10011305343
Saved in:
8
Forecasting
inflation
: the use of dynamic factor analysis and nonlinear combinations
Hall, Stephen G.
;
Tavlas, George S.
;
Wang, Yongli
- In:
Journal of forecasting
42
(
2023
)
3
,
pp. 514-529
Persistent link: https://www.econbiz.de/10014292208
Saved in:
9
Stochastic multivariate mixture covariance model
So, Mike Ka-pui
;
Li, Raymond W. M.
;
Asai, Manabu
;
Jiang, Yue
- In:
Journal of forecasting
36
(
2017
)
2
,
pp. 139-155
Persistent link: https://www.econbiz.de/10011729126
Saved in:
10
A Bayesian time-varying autoregressive model for improved short-term and long-term prediction
Berninger, Christoph
;
Stöcker, Almond
;
Rügamer, David
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 181-200
Persistent link: https://www.econbiz.de/10012796284
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