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FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions
16 references·0 citing·46 second hopsampled
FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions (2022)FinHGNN: A conditional heterogeneous grap…Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (2020)Modeling the Stock Relation w…A novel graph convolutional feature based convolutional neural network for stock trend prediction (2020)A novel graph convolutional f…A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News (2020)A Multimodal Event-Driven LST…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Shared analyst coverage: Unifying momentum spillover effects (2019)Shared analyst coverage: Unif…Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (2018)Incorporating Corporation Rel…When Can Social Media Lead Financial Markets? (2014)When Can Social Media Lead Fi…The effect of news and public mood on stock movements (2014)The effect of news and public…Quantifying Wikipedia Usage Patterns Before Stock Market Moves (2013)Quantifying Wikipedia Usage P…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)More Than Words: Quantifying …Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Giving Content to Investor Se…Daily stock market forecast from textual web data (2002)Daily stock market forecast f…Do Industries Explain Momentum? (1999)Do Industries Explain Momentu…Common risk factors in the returns on stocks and bonds (1993)Common risk factors in the re…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)Natural language based financial forecasting: a survey (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)Stock market prediction using machine learning classifiers and social media, news (2020)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Risk, Return, and Equilibrium: Empirical Tests (1973)The Cross-Section of Expected Stock Returns (1992)Illiquidity and stock returns: cross-section and time-series effects (2002)A five-factor asset pricing model (2014)On Persistence in Mutual Fund Performance (1997)Capital markets research in accounting (2001)Profitability of Momentum Strategies: An Evaluation of Alternative Explanations (2001)Digesting Anomalies: An Investment Approach (2012)The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Application of support vector machines in financial time series forecasting (2001)What can big data and text analytics tell us about hotel guest experience and satisfaction? (2014)Applications of deep learning in stock market prediction: Recent progress (2021)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Loss Aversion in Riskless Choice: A Reference-Dependent Model (1991)The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)Intraday online investor sentiment and return patterns in the U.S. stock market (2017)Measuring objective and subjective well-being: dimensions and data sources (2020)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)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)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Stock market's price movement prediction with LSTM neural networks (2017)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Deep learning for financial applications : A survey (2020)A comprehensive review on multiple hybrid deep learning approaches for stock prediction (2022)Multi-source aggregated classification for stock price movement prediction (2022)Data-driven stock forecasting models based on neural networks: A review (2024)The General Theory of Employment, Interest and Money. (1936)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)In Search of Attention (2011)Media Coverage and the Cross‐section of Stock Returns (2009)Text-Based Network Industries and Endogenous Product Differentiation (2011)Textual Analysis in Accounting and Finance: A Survey (2016)
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References

  • 1993Common risk factors in the returns on stocks and bonds26,615 cited
  • 2011Twitter mood predicts the stock market5,252 cited
  • 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market4,971 cited
  • 2008More Than Words: Quantifying Language to Measure Firms' Fundamentals2,316 cited
  • 1999Do Industries Explain Momentum?1,770 cited
  • 2009Textual analysis of stock market prediction using breaking financial news784 cited
  • 2019Temporal Relational Ranking for Stock Prediction563 cited
  • 2013Quantifying Wikipedia Usage Patterns Before Stock Market Moves319 cited
  • 2014The effect of news and public mood on stock movements288 cited
  • 2020A novel graph convolutional feature based convolutional neural network for stock trend prediction284 cited
  • 2019Shared analyst coverage: Unifying momentum spillover effects277 cited
  • 2018Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction253 cited
  • 2020A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News213 cited
  • 2020Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction186 cited
  • 2002Daily stock market forecast from textual web data

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163 cited
  • 2014When Can Social Media Lead Financial Markets?137 cited
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