SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
8 references·7 citing·53 second hop
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks (2016)Leverage Financial News to Predict Stock …Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…On the Importance of Text Analysis for Stock Price Prediction (2014)On the Importance of Text Ana…Exploiting Social Relations and Sentiment for Stock Prediction (2014)Exploiting Social Relations a…Semantic Frames to Predict Stock Price Movement (2013)Semantic Frames to Predict St…Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitte…Predicting stock index increments by neural networks: The role of trading volume under different horizons (2007)Predicting stock index increm…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information (2021)Stock Trend Prediction Using …FAST: Financial News and Tweet Based Time Aware Network for Stock Trading (2021)FAST: Financial News and Twee…Multi-Element Hierarchical Attention Capsule Network for Stock Prediction (2020)Multi-Element Hierarchical At…Transformer-Based Capsule Network For Stock Movement Prediction (2019)Transformer-Based Capsule Net…Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls (2019)Modeling Financial Analysts’ …A new LSTM based reversal point prediction method using upward/downward reversal point feature sets (2019)A new LSTM based reversal poi…Stock market direction prediction using deep neural networks (2017)Stock market direction predic…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A case study on using neural networks to perform technical forecasting of forex (2000)The application of neural networks to forecast fuzzy time series (2005)Neural network ensemble operators for time series forecasting (2014)Stock Prices and Volume (1992)Trading Volume and Serial Correlation in Stock Returns (1993)Testing for Linear and Nonlinear Granger Causality in the Stock Price- Volume Relation (1994)Financial time series forecasting with machine learning techniques: A survey (2010)Forecasting S&P 500 index using artificial neural networks and design of experiments (2013)Automated trading systems statistical and machine learning methods and hardware implementation: a survey (2018)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 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)Exploiting investors social network for stock prediction in China's market (2017)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)Textual analysis of stock market prediction using breaking financial news (2009)Twitter mood predicts the stock market (2011)Correlating financial time series with micro-blogging activity (2012)A novel data-driven stock price trend prediction system (2017)Improving stock market prediction via heterogeneous information fusion (2017)A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)Word power: A new approach for content analysis (2013)Assessing asset pricing models using revealed preference (2015)Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis (2019)Predicting stock market trends using machine learning algorithms via public sentiment and political situation analysis (2019)Validating the impact of accounting disclosures on stock market: A deep neural network approach (2021)Hierarchical structure in financial markets (1999)The five competitive forces that shape strategy. (2008)A New Model for Stock Price Movements Prediction Using Deep Neural Network (2017)Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments (2020)Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Deep learning with long short-term memory networks for financial market predictions (2017)Improving Stock Prediction Accuracy Using CNN and LSTM (2020)Prediction of Bitcoin price based on manipulating distribution strategy (2021)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)Stock Movement Prediction and Portfolio Management via Multimodal Learning with Transformer (2021)Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices (2023)Support vector machine with adaptive parameters in financial time series forecasting (2003)Predicting the Price of Bitcoin Using Machine Learning (2018)Forecasting: theory and practice (2022)
this work references cited by second hop

References

  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2013Exploiting Topic based Twitter Sentiment for Stock Prediction210 cited
  • 2007Predicting stock index increments by neural networks: The role of trading volume under different horizons161 cited
  • 2014Exploiting Social Relations and Sentiment for Stock Prediction112 cited
  • 2014On the Importance of Text Analysis for Stock Price Prediction101 cited
  • 2013Semantic Frames to Predict Stock Price Movement96 cited

Cited by

  • 2019Transformer-Based Capsule Network For Stock Movement Prediction54 cited
  • 2019A new LSTM based reversal point prediction method using upward/downward reversal point feature sets43 cited
  • 2021Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information43 cited
  • 2017Stock market direction prediction using deep neural networks42 cited
  • 2019Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls41 cited
  • 2021FAST: Financial News and Tweet Based Time Aware Network for Stock Trading

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

41 cited
  • 2020Multi-Element Hierarchical Attention Capsule Network for Stock Prediction35 cited