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McVCsB: A new hybrid deep learning network for stock index prediction · Study

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ArticleMcVCsB: A new hybrid deep learning network for stock index prediction

Peiwan Wang2023

Article2023

McVCsB: A new hybrid deep learning network for stock index prediction

Peiwan Wang · Yong Li · Yuzhe Zhang

45 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Forecasting Techniques and Applications Time Series Analysis and Forecasting

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References

2019The Performance of LSTM and BiLSTM in Forecasting Time Series 2017Stock market's price movement prediction with LSTM neural networks 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models 2022Machine learning techniques and data for stock market forecasting: A literature review 2014Recurrent neural network and a hybrid model for prediction of stock returns 2020Stock price prediction using deep learning and frequency decomposition 2021Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process 2003Flexible Multivariate GARCH Modeling with an Application to International Stock Markets

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Year2023

Typearticle

Published2023-06-26

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations45

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2023.120902

openalex_workW4382051075

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