Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction
The global economy relies heavily on stock markets, making accurate stock price predictions essential for academic research and practical applications. The task of predicting stock prices presents significant challenges due to the non-linear relationships between historical and future values and the...
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Main Authors: | Komei Hiruta, Junsuke Senoguchi |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-12-01
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Series: | International Journal of Information Management Data Insights |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096825000424 |
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