SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News
6 references·11 citing·40 second hop
Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News (2018)Hierarchical Complementary Attention Netw…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersUsing Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…The effect of news and public mood on stock movements (2014)The effect of news and public…Semantic Frames to Predict Stock Price Movement (2013)Semantic Frames to Predict St…The Adjustment of Stock Prices to New Information (2003)The Adjustment of Stock Price…The Adjustment of Stock Prices to New Information (1969)The Adjustment of Stock Price…Multimodal multiscale dynamic graph convolution networks for stock price prediction (2023)Multimodal multiscale dynamic…MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information (2023)MDF-DMC: A stock prediction m…Hybrid Information Mixing Module for Stock Movement Prediction (2023)Hybrid Information Mixing Mod…Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets (2022)Accurate Stock Movement Predi…A hierarchical attention network for stock prediction based on attentive multi-view news learning (2022)A hierarchical attention netw…Stock Trend Prediction with Multi-granularity Data (2021)Stock Trend Prediction with M…Graph-Based Stock Recommendation by Time-Aware Relational Attention Network (2021)Graph-Based Stock Recommendat…Multi-Element Hierarchical Attention Capsule Network for Stock Prediction (2020)Multi-Element Hierarchical At…Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework (2020)Incorporating Expert-Based In…ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction (2020)ESG2Risk: A Deep Learning Fra…Transformer-Based Capsule Network For Stock Movement Prediction (2019)Transformer-Based Capsule Net…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Noise Trader Risk in Financial Markets (1990)Improving stock market prediction via heterogeneous information fusion (2017)Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning (2019)A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News (2020)Dividend Policy, Growth, and the Valuation of Shares (1961)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Behavior of Stock-Market Prices (1965)Risk, Return, and Equilibrium: Empirical Tests (1973)Efficient Capital Markets: II (1991)Does the Stock Market Overreact? (1985)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)FRAME SEMANTICS AND THE NATURE OF LANGUAGE* (1976)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks (2016)Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017)A Numerical-Based Attention Method for Stock Market Prediction With Dual Information (2018)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)Measuring nominal scale agreement among many raters. (1971)Twitter mood predicts the stock market (2011)Essential tensor learning for multimodal information-driven stock movement prediction (2023)Textual analysis of stock market prediction using breaking financial news (2009)Deep learning for event-driven stock prediction (2015)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Multi-Head Self-Attention Transformer for Dogecoin Price Prediction (2021)Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices (2023)Fx-spot predictions with state-of-the-art transformer and time embeddings (2024)Deep learning with long short-term memory networks for financial market predictions (2017)Incorporating stock prices and text for stock movement prediction based on information fusion (2023)News impact on stock price return via sentiment analysis (2014)Stock market's price movement prediction with LSTM neural networks (2017)Introductory Econometrics for Finance (2008)
this work references cited by second hop

References

  • 1969The Adjustment of Stock Prices to New Information3,625 cited
  • 2003The Adjustment of Stock Prices to New Information3,063 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2014The effect of news and public mood on stock movements255 cited
  • 2013Semantic Frames to Predict Stock Price Movement96 cited

Cited by

  • 2020Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework56 cited
  • 2019Transformer-Based Capsule Network For Stock Movement Prediction54 cited
  • 2023Hybrid Information Mixing Module for Stock Movement Prediction45 cited
  • 2021Graph-Based Stock Recommendation by Time-Aware Relational Attention Network43 cited
  • 2022Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets40 cited
  • 2022A hierarchical attention network for stock prediction based on attentive multi-view news learning40 cited
  • 2020ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction36 cited
  • 2020Multi-Element Hierarchical Attention Capsule Network for Stock Prediction35 cited
  • 2021

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Stock Trend Prediction with Multi-granularity Data
35 cited
  • 2023Multimodal multiscale dynamic graph convolution networks for stock price prediction33 cited
  • 2023MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information32 cited