Forecasting Stock Price Based on Frequency Components by EMD and Neural Networks
Predicting stock price based on the features of raw data has been a significant but challenging task for researchers. Various frequency components of the raw stock price series represent characteristics of stock prices in different time scales. Therefore, it makes sense for predicting stock prices t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9257397/ |