Forecasting stock price movement: new evidence from a novel hybrid deep learning model
Purpose – This study explores whether a new machine learning method can more accurately predict the movement of stock prices. Design/methodology/approach – This study presents a novel hybrid deep learning model, Residual-CNN-Seq2Seq (RCSNet), to predict the trend of stock price movement. RCSNet inte...
Main Authors: | Yang Zhao, Zhonglu Chen |
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Format: | Article |
Language: | English |
Published: |
Emerald Publishing
2022-05-01
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Series: | Journal of Asian Business and Economic Studies |
Subjects: | |
Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JABES-05-2021-0061/full/pdf?title=forecasting-stock-price-movement-new-evidence-from-a-novel-hybrid-deep-learning-model |
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