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Stock Market Index Prediction Using CEEMDAN‐LSTM‐BPNN‐Decomposition Ensemble Model
16 references·0 citing·50 second hopsampled
Stock Market Index Prediction Using CEEMDAN‐LSTM‐BPNN‐Decomposition Ensemble Model (2025)Stock Market Index Prediction Using CEEMD…Adaptability of Financial Time Series Prediction Based on BiLSTM (2022)Adaptability of Financial Tim…Machine learning in the Chinese stock market (2021)Machine learning in the Chine…Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generación de series de tiemp…Forecasting stock index price using the CEEMDAN-LSTM model (2021)Forecasting stock index price…Stock Closing Price Prediction using Machine Learning Techniques (2020)Stock Closing Price Predictio…A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A CNN-LSTM-Based Model to For…The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)The Performance of LSTM and B…A hybrid VMD–BiGRU model for rubber futures time series forecasting (2019)A hybrid VMD–BiGRU model for …A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network (2019)A carbon price prediction mod…Forecasting stock market crisis events using deep and statistical machine learning techniques (2018)Forecasting stock market cris…Modelling and forecasting the stock market volatility of SSE Composite Index using GARCH models (2017)Modelling and forecasting the…A variational mode decompoisition approach for analysis and forecasting of economic and financial time series (2016)A variational mode decompoisi…Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests (2015)Comparing Predictive Accuracy…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Time Series Analysis Forecasting and Control. 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References

  • 2019The Performance of LSTM and BiLSTM in Forecasting Time Series1,767 cited
  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,559 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,174 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,019 cited
  • 2020Stock Closing Price Prediction using Machine Learning Techniques673 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices595 cited
  • 2021Machine learning in the Chinese stock market593 cited
  • 2011Forecasting stock indices with back propagation neural network497 cited
  • 2015Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests494 cited
  • 2018Forecasting stock market crisis events using deep and statistical machine learning techniques312 cited
  • 2019A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network259 cited
  • 2016A variational mode decompoisition approach for analysis and forecasting of economic and financial time series214 cited
  • 2022Adaptability of Financial Time Series Prediction Based on BiLSTM202 cited
  • 2021

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Forecasting stock index price using the CEEMDAN-LSTM model
189 cited
  • 2017Modelling and forecasting the stock market volatility of SSE Composite Index using GARCH models149 cited
  • 2019A hybrid VMD–BiGRU model for rubber futures time series forecasting140 cited
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