Zhou, Peng and Li, Fangyi (2023) Prediction of Fund Net Value Based on ARIMA-LSTM Hybrid Model. In: Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China.
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Abstract
The net value of fund is affected in many ways, and researchers attempt to quantify these influences in order to predict future net value by developing various models. Current prediction models typically can only reflect the linear variation law, and their nonlinear characteristics are either poorly
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:01 |
| Last Modified: | 17 Apr 2026 03:52 |
| URI: | http://eprints.eai.eu/id/eprint/41856 |
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