| 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 | 34 | 2020 |
| 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 | 19 | 2013 |
| Real-Time Inflation Forecast Combination for Time-Varying Coefficient Models B Zhang Journal of Forecasting 38 (3), 175-191, 2018 | 14 | 2018 |
| Time-varying trend models for forecasting inflation in Australia N Guo, B Zhang, JL Cross Journal of Forecasting 41, 316-330, 2022 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| Real-time forecasting of the Australian macroeconomy using flexible Bayesian VARs B Zhang, BH Nguyen CAMA working paper series 91, 2020 | 2 | 2020 |
| 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 | 1 | 2022 |
| 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 (Cambridge, England), 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 |
| The Importance of Stochastic Volatility in Renewable Energy Forecasts B Zhang, C Hou, W Lin, Z Ma Working Paper, 2019 | | 2019 |
| New Kid on the Block? China vs the US in World Oil Markets J Cross, B Nguyen, B Zhang CAMA working paper series, 2019 | | 2019 |
| Forecasting Macroeconomic Series by Models with ARMA-SV Errors B Zhang, C Hou Working Paper, 2019 | | 2019 |
| Time-varying Models for Macroeconomic Forecasts B Zhang The Australian National University, 2018 | | 2018 |
Jamie CrossMelbourne Business School, University of MelbourneVerified email at mbs.edu
