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ArticleForecasting stock index price using the CEEMDAN-LSTM model

Yu Qiang Lin2021

Article2021

Forecasting stock index price using the CEEMDAN-LSTM model

Yu Qiang Lin · Yan Yan · Jiali Xu · Ying Liao · Feng Ma

189 citations·0/0 files stored·The North American Journal of Economics and Finance

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

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References

2017Deep learning with long short-term memory networks for financial market predictions 2004Forecasting stock market movement direction with support vector machine 2017Stock price prediction using LSTM, RNN and CNN-sliding window model 2011Using artificial neural network models in stock market index prediction 2018Financial time series forecasting model based on CEEMDAN and LSTM 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm 2015Evaluating multiple classifiers for stock price direction prediction 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction

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Year2021

Typearticle

Published2021-03-26

VenueThe North American Journal of Economics and Finance

ISSN-L1062-9408

Languageen

Citations189

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.najef.2021.101421

openalex_workW3147314058

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2023Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks

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