Foreign trade survey data: do they help in forecasting exports and imports?
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Publication:2109290
DOI10.1007/S11424-022-1015-XzbMath1504.91161OpenAlexW4283169153MaRDI QIDQ2109290
Yun Bai, Xun Zhang, Shou-Yang Wang
Publication date: 20 December 2022
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-022-1015-x
forecastingcomposite indexsurvey dataartificial neural networkGranger causality testARIMAXforeign trade
Applications of statistics to economics (62P20) Artificial neural networks and deep learning (68T07) Trade models (91B60)
Cites Work
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- Did speculative activities contribute to high crude oil prices during 1993 to 2008?
- Estimating multi-country prosperity index: a two-dimensional singular spectrum analysis approach
- Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach
- A hierarchical forecasting model for China's foreign trade
- Exploring the linear and nonlinear causality between Internet big data and stock markets
- Estimating turning points using large data sets
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
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