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MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU
16 references·0 citing·41 second hop
MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU (2025)MCI-GRU: Stock prediction model based on …Financial time series forecasting with multi-modality graph neural network (2021)Financial time series forecas…Artificial intelligence and sustainable development (2019)Artificial intelligence and s…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Deep Direct Reinforcement Lea…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Financial time series forecasting using support vector machines (2003)Financial time series forecas…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Financial markets in development, and the development of financial markets (1997)Financial markets in developm…Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Returns to Buying Winners and…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Exponential smoothing: The state of the art (1985)Exponential smoothing: The st…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Bank Runs, Deposit Insurance, and Liquidity (1983)Structure and Change in Economic History (1983)Financial Intermediation and Delegated Monitoring (1984)The Buck Stops Where? The Role of Limited Liability in Economics (1997)Development of financial intermediation and economic growth: The Chinese experience (2006)The Relationship Between Insurance and Economic Development: 85 Empirical Papers for a Review of the Literature (2012)Risk, Return, and Equilibrium: Empirical Tests (1973)Does the Stock Market Overreact? (1985)Multifactor Explanations of Asset Pricing Anomalies (1996)On Persistence in Mutual Fund Performance (1997)Investor Psychology and Security Market Under‐ and Overreactions (1998)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)A state space framework for automatic forecasting using exponential smoothing methods (2002)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Applications of deep learning in stock market prediction: Recent progress (2021)A systematic review of fundamental and technical analysis of stock market predictions (2019)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
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References

  • 1993Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency11,575 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 1985Exponential smoothing: The state of the art1,461 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 1997Financial markets in development, and the development of financial markets918 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2016Deep Direct Reinforcement Learning for Financial Signal Representation and Trading821 cited
  • 2019Artificial intelligence and sustainable development753 cited
  • 1990Stock market prediction system with modular neural networks654 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation

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451 cited
  • 2021Financial time series forecasting with multi-modality graph neural network431 cited
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