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ML-GAT:A Multilevel Graph Attention Model for Stock Prediction
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ML-GAT:A Multilevel Graph Attention Model for Stock Prediction (2022)ML-GAT:A Multilevel Graph Attention Model…Financial time series forecasting with multi-modality graph neural network (2021)Financial time series forecas…A graph-based CNN-LSTM stock price prediction algorithm with leading indicators (2021)A graph-based CNN-LSTM stock …Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Mean–variance portfolio optim…A novel graph convolutional feature based convolutional neural network for stock trend prediction (2020)A novel graph convolutional f…A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…A Prediction Approach for Stock Market Volatility Based on Time Series Data (2019)A Prediction Approach for Sto…Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (2018)Incorporating Corporation Rel…Advances in Financial Machine Learning (2018)Advances in Financial Machine…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Wikidata (2014)WikidataText mining for market prediction: A systematic review (2014)Text mining for market predic…Maps of Bounded Rationality: Psychology for Behavioral Economics (2003)Maps of Bounded Rationality: …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting (2024)A Systematic Review on Graph …Cost Harmonization LightGBM-Based Stock Market Prediction (2023)Cost Harmonization LightGBM-B…A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Neuroeconomics: How Neuroscience Can Inform Economics (2005)Naturalistic Decision Making (2008)The Polarizing Impact of Science Literacy and Numeracy on Perceived Climate Change Risks (2012)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Sentiment analysis on social media for stock movement prediction (2015)Deep learning for financial applications : A survey (2020)The Behavior of Stock-Market Prices (1965)Twitter mood predicts the stock market (2011)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)NSE Stock Market Prediction Using Deep-Learning Models (2018)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Textual analysis of stock market prediction using breaking financial news (2009)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Enhancing Stock Movement Prediction with Adversarial Training (2019)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Transformer-based attention network for stock movement prediction (2022)PORTFOLIO SELECTION* (1952)Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy? (2007)Deep Learning for Stock Market Prediction (2020)Machine learning techniques and data for stock market forecasting: A literature review (2022)Time series forecasting using a hybrid ARIMA and neural network model (2003)A CNN–LSTM model for gold price time-series forecasting (2020)An Advanced CNN-LSTM Model for Cryptocurrency Forecasting (2021)Stock market prediction using deep learning algorithms (2021)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices (2022)Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction (2022)Data-driven stock forecasting models based on neural networks: A review (2024)Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Algorithmic Amplification of Politics on Twitter (2021)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! The challenges and opportunities of Social Media (2009)
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References

  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 2003Maps of Bounded Rationality: Psychology for Behavioral Economics5,374 cited
  • 2014Wikidata3,366 cited
  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2014Text mining for market prediction: A systematic review616 cited
  • 2019Temporal Relational Ranking for Stock Prediction551 cited
  • 2021Financial time series forecasting with multi-modality graph neural network431 cited
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  • 2021A graph-based CNN-LSTM stock price prediction algorithm with leading indicators332 cited
  • 2020Mean–variance portfolio optimization using machine learning-based stock price prediction302 cited
  • 2020A novel graph convolutional feature based convolutional neural network for stock trend prediction284 cited
  • 2019A Prediction Approach for Stock Market Volatility Based on Time Series Data

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275 cited
  • 2018Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction253 cited
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    • 2024A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting48 cited
    • 2023Cost Harmonization LightGBM-Based Stock Market Prediction41 cited