Short-Term Stock Correlation Forecasting Based on CNN-BiLSTM Enhanced by Attention Mechanism
Author:
Affiliation:
1. School of Computer Science and Technology, Anhui University of Technology, Maanshan, China
2. Research Institute of Information Technology, Anhui University of Technology, Maanshan, China
Funder
Scientific Research Project of Higher Education Institutions in Anhui Province
Collaborative Innovation Project of Anhui Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10444524.pdf?arnumber=10444524
Reference39 articles.
1. Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method
2. Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction
3. Adaptability of Financial Time Series Prediction Based on BiLSTM
4. Stock–Bond Correlation and Duration Risk Allocation
5. Stock selection via nonlinear multi-factor models;Levin
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