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Bo Zhang
Bo Zhang
Verified email at uow.edu.au
Title
Cited by
Cited by
Year
Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts
B Zhang, JCC Chan, JL Cross
International Journal of Forecasting 36, 1318-1328, 2020
372020
CuS nanoflakes, microspheres, microflowers, and nanowires: synthesis and lithium storage properties
B Zhang, XW Gao, JZ Wang, SL Chou, K Konstantinov, HK Liu
Journal of nanoscience and nanotechnology 13 (2), 1309-1316, 2013
192013
Real-Time Inflation Forecast Combination for Time-Varying Coefficient Models
B Zhang
Journal of Forecasting 38 (3), 175-191, 2018
162018
To tax or to trade? A global review of carbon emissions reduction strategies
J Pan, JL Cross, X Zou, B Zhang
Energy Strategy Reviews 55, 101508, 2024
72024
The innovative design of high-performance layered transition metal oxides for sodium-ion batteries from a commercial perspective
J Pan, J Wu, X Zou, S Chou, B Zhang
Chemical Communications 60 (32), 4266-4274, 2024
62024
Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs
C Hou, B Nguyen, B Zhang
Journal of Forecasting 42 (2), 418-451, 2023
62023
Time-varying trend models for forecasting inflation in Australia
N Guo, B Zhang, JL Cross
Journal of Forecasting 41, 316-330, 2022
52022
International Journal of Forecasting
B Zhang, JCC Chan, JL Cross
51998
Formalize the informal: market segmentation and integration in the formal and informal credit markets in Wenzhou
Z Cheng, B Zhang, X Huang, Y Chen
Economic research-Ekonomska istraživanja 36 (2), 2023
32023
The influence from a demand perspective with real economic activity: China versus the United States in world oil markets
J Cross, BH Nguyen, B Zhang
Carbon Neutralization 1 (3), 306-315, 2022
32022
Real-time forecasting of the Australian macroeconomy using flexible Bayesian VARs
B Zhang, BH Nguyen
CAMA working paper series 91, 2020
22020
Time-varying Models for Macroeconomic Forecasts
B Zhang
The Australian National University, 2018
12018
Macroeconomic real‐time forecasts of univariate models with flexible error structures
K Trinh, B Zhang, C Hou
Journal of Forecasting 44 (1), 59-78, 2025
2025
Forecasting oil prices: Can large BVARs help?
B Zhang, BH Nguyen, C Sun
Energy Economics 137, 107805, 2024
2024
Forecasting oil Prices: can large BVARs help?
BH Nguyen, B Zhang
Available at SSRN 4257163, 2022
2022
Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts (vol 36, pg 1318, 2020)
B Zhang, JCC Chan, JL Cross
INTERNATIONAL JOURNAL OF FORECASTING 37 (3), 1305-1305, 2021
2021
Time-Varying Trend Models for Forecasting Inflation in Australia
J Cross, B Zhang, N Guo
BI Norwegian Business School, 2020
2020
Time-Varying Trend Models for Forecasting Inflation in Australia
B Zhang, J Cross, N Guo
Centre for Applied Macro-and Petroleum economics (CAMP), BI Norwegian …, 2020
2020
Real-time forecasting of the Australian macroeconomy using Bayesian VARs
B Zhang, BH Nguyen
University of Tasmania, Tasmanian School of Business and Economics Working …, 2020
2020
Time-varying trend models for forecasting inflation in Australia
N Guo, B Zhang, J Cross
CAMA working paper series 99, 2020
2020
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