Zhang, Luwei (2023) Forecasting Foreign Trade Trends Based on Combined ARIMA and Composite Quantile Regression Models. In: Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China.
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Abstract
Predicting the trend of total foreign trade is vital for studying the national economic system. In this paper, after using a full subset regression model for variable screening, a combined model of ARIMA and composite quantile regression (CQR) estimation series is used to predict the trend of total
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:31 |
| Last Modified: | 17 Apr 2026 02:38 |
| URI: | http://eprints.eai.eu/id/eprint/44179 |
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