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Zhang B, Chan JCC, Cross JL, June 2018, Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts paper
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Connectedness and risk spillovers in China's stock market: a sectoral analysis
Wu, Fei
;
Zhang, Dayong
;
Zhang, Zhiwei
- In:
Economic systems
43
(
2019
)
3/4
,
pp. 1-14
Persistent link: https://www.econbiz.de/10012314676
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2
Forecasting oil prices : can large BVARs help?
Zhang, Bo
;
Nguyen, Bao
;
Sun, Chuanwang
- In:
Energy economics
137
(
2024
),
pp. 1-10
Persistent link: https://www.econbiz.de/10015181793
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3
Forecasting oil prices : can large BVARs help?
Nguyen, Bao
;
Zhang, Bo
-
2022
Persistent link: https://www.econbiz.de/10014501099
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4
Monetary shocks and stock market fluctuations : with an application to the Chinese stock market
Zhang, Bo
;
Hu, Jinyan
;
Jiang, Mingming
- In:
The Singapore economic review : journal of the Economic …
62
(
2017
)
4
,
pp. 875-904
Persistent link: https://www.econbiz.de/10011788694
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5
Real-time forecasting of the Australian macroeconomy using flexible bayesian VARs
Zhang, Bo
;
Bao Hoang Nguyen
-
2020
Persistent link: https://www.econbiz.de/10012317113
Saved in:
6
Time-varying trend models for forecasting inflation in Australia
Guo, Na
;
Zhang, Bo
;
Cross, Jamie
-
2020
Persistent link: https://www.econbiz.de/10012437562
Saved in:
7
Real-time forecasting of the Australian macroeconomy using flexible Bayesian VARs
Zhang, Bo
;
Bao Hoang Nguyen
-
2020
Persistent link: https://www.econbiz.de/10012533936
Saved in:
8
Time-varying trend models for forecasting inflation in Australia
Guo, Na
;
Zhang, Bo
;
Cross, Jamie
-
2020
Persistent link: https://www.econbiz.de/10012534328
Saved in:
9
Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo
;
Chan, Joshua
;
Cross, Jamie
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1318-1328
Persistent link: https://www.econbiz.de/10012546706
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10
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
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