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Using Kernel Method to Include Firm Correlation for Stock Price Prediction
In this work, we propose AGKN (attention-based graph learning kernel network), a novel framework to incorporate information of correlated firms of a target stock for its price prediction in an end-to-end way. We first construct a stock-axis attention module to extract dynamic and asymmetric spatial...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005277/ https://www.ncbi.nlm.nih.gov/pubmed/35422853 http://dx.doi.org/10.1155/2022/4964394 |