Gao, Tianhao and Huo, Yuwen and Yu, Mengmeng (2023) The Progress of Stock Price Forecasting Model Based on AI Techniques: ARIMA, Neural Networks and LSTM. 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
In contemporary society, under great demand for effective investing, stock price forecasting is always a hot topic in financial research. On this basis, this study investigates the price forecasting models based on three common used measures and approaches, i.e., ARIMA, Neural networks and LSTM mode
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:02 |
| Last Modified: | 17 Apr 2026 03:47 |
| URI: | http://eprints.eai.eu/id/eprint/41989 |
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