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Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction
16 references·0 citing·46 second hop
Learning Sentimental and Financial Signals With Normalizing Flows for Stock Movement Prediction (2021)Learning Sentimental and Financial Signal…Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments (2020)Knowledge Graph-based Event E…Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong (2020)Incorporating stock prices an…Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Hierarchical Multi-Scale Gaus…Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations (2020)Deep Attentive Learning for S…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…AlphaStock (2019)AlphaStockStock Movement Prediction from Tweets and Historical Prices (2018)Stock Movement Prediction fro…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersIncorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (2018)Incorporating Corporation Rel…Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Forecasting the volatility of…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Sentiment analysis of Twitter data for predicting stock market movements (2016)Sentiment analysis of Twitter…Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…Semantic Frames to Predict Stock Price Movement (2013)Semantic Frames to Predict St…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Smoothing, Forecasting, and Prediction of Discrete Time Series (1965)Smoothing, Forecasting, and P…The Behavior of Stock-Market Prices (1965)Does the Stock Market Overreact? (1985)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Deep learning for event-driven stock prediction (2015)A systematic review of fundamental and technical analysis of stock market predictions (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Data mining with big data (2013)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social Media: Defining, Developing, and Divining (2015)Predicting the Future with Social Media (2010)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Distributed Representations, Simple Recurrent Networks, and Grammatical Structure (1991)Dynamic Covariance Models for Multivariate Financial Time Series (2013)ARIMA Models and the Box-Jenkins Methodology (2016)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)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)Deep learning for financial applications : A survey (2020)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Smoothing, Forecasting and Prediction of Discrete Time Series. (1964)Textual analysis of stock market prediction using breaking financial news (2009)Technical analysis and sentiment embeddings for market trend prediction (2019)Financial time series forecasting with multi-modality graph neural network (2021)A Random Walk Down Wall Street (1973)Wikidata (2014)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)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)Stock Price Forecasting with Deep Learning: A Comparative Study (2020)Transformer-based attention network for stock movement prediction (2022)Some Statistical Process Control Methods for Autocorrelated Data (1991)Low frequency filtering and real business cycles (1993)Recurrent neural network and a hybrid model for prediction of stock returns (2014)
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References

  • 2011Twitter mood predicts the stock market5,252 cited
  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,700 cited
  • 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models807 cited
  • 2019Temporal Relational Ranking for Stock Prediction563 cited
  • 2016Sentiment analysis of Twitter data for predicting stock market movements482 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices433 cited
  • 2020Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong370 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 1965Smoothing, Forecasting, and Prediction of Discrete Time Series264 cited
  • 2018Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction253 cited
  • 2020Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction231 cited
  • 2020Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations146 cited
  • 2019AlphaStock142 cited
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Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments
110 cited
  • 2013Semantic Frames to Predict Stock Price Movement96 cited
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