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Stock Market Prediction via Multi-Source Multiple Instance Learning
8 references·11 citing·49 second hop
Stock Market Prediction via Multi-Source Multiple Instance Learning (2018)Stock Market Prediction via Multi-Source …Deep learning for stock prediction using numerical and textual information (2016)Deep learning for stock predi…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitte…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Predicting risk from financial reports with regression (2009)Predicting risk from financia…Social Mood and Financial Economics (2005)Social Mood and Financial Eco…The Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …Time Series Impact Through Topic Modeling (2022)Time Series Impact Through To…Stock market prediction based on statistical data using machine learning algorithms (2022)Stock market prediction based…A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction (2022)A Hybrid Data Analytics Frame…Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models (2021)Forecasting Stock Market Indi…Ensemble Technique With Optimal Feature Selection for Saudi Stock Market Prediction: A Novel Hybrid Red Deer-Grey Algorithm (2021)Ensemble Technique With Optim…Combined deep learning classifiers for stock market prediction: integrating stock price and news sentiments (2021)Combined deep learning classi…A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction (2021)A novel multi-source informat…Stock Market Prediction Using Ensemble of Graph Theory, Machine Learning and Deep Learning Models (2020)Stock Market Prediction Using…Stock Market Forecasting using Machine Learning: Today and Tomorrow (2019)Stock Market Forecasting usin…A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features (2019)A Dual-Attention-Based Stock …Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data (2018)Enhancing stock market predic…Noise Trader Risk in Financial Markets (1990)A Simple Model of Herd Behavior (1992)The Role of Feelings in Investor Decision-Making (2005)Investor Sentiment and Pro Forma Earnings Disclosures (2011)Corporate social responsibility and media coverage (2015)The Quarterly Journal of Economics (2024)DISTRIBUTION OF INCOMES OF CORPORATIONS AMONG DIVIDENDS, RETAINED EARNINGS AND TAXES (1956)Portfolio Selection: Efficient Diversification of Investments (1959)Dividend Policy, Growth, and the Valuation of Shares (1961)Risk, Return, and Equilibrium: Empirical Tests (1973)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law (2012)Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter (2015)Movie Reviews and Revenues: An Experiment in Text Regression (2018)Does the Stock Market Overreact? 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this work references cited by second hop

References

  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2005Social Mood and Financial Economics535 cited
  • 2016Deep learning for stock prediction using numerical and textual information420 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2009Predicting risk from financial reports with regression271 cited
  • 2013Exploiting Topic based Twitter Sentiment for Stock Prediction210 cited

Cited by

  • 2021A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction119 cited
  • 2022Stock market prediction based on statistical data using machine learning algorithms104 cited
  • 2021Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models80 cited
  • 2019A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features64 cited
  • 2019Stock Market Forecasting using Machine Learning: Today and Tomorrow61 cited
  • 2021Ensemble Technique With Optimal Feature Selection for Saudi Stock Market Prediction: A Novel Hybrid Red Deer-Grey Algorithm

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58 cited
  • 2020Stock Market Prediction Using Ensemble of Graph Theory, Machine Learning and Deep Learning Models55 cited
  • 2018Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data54 cited
  • 2022A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction43 cited
  • 2021Combined deep learning classifiers for stock market prediction: integrating stock price and news sentiments41 cited
  • 2022Time Series Impact Through Topic Modeling5 cited