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COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction
16 references·2 citing·50 second hopsampled
COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction (2021)COVID19-HPSMP: COVID-19 adopted Hybrid an…Applications of deep learning in stock market prediction: Recent progress (2021)Applications of deep learning…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Stock market movement forecast: A Systematic review (2020)Stock market movement forecas…Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns (2020)Death and contagious infectio…COVID-19 and the march 2020 stock market crash. Evidence from S&P1500 (2020)COVID-19 and the march 2020 s…COVID-19 and stock market volatility: An industry level analysis (2020)COVID-19 and stock market vol…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…Stock Movement Prediction from Tweets and Historical Prices (2018)Stock Movement Prediction fro…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersDeep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…News impact on stock price return via sentiment analysis (2014)News impact on stock price re…Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Giving Content to Investor Se…Market efficiency, long-term returns, and behavioral finance1The comments of Brad Barber, David Hirshleifer, S.P. Kothari, Owen Lamont, Mark Mitchell, Hersh Shefrin, Robert Shiller, Rex Sinquefield, Richard Thaler, Theo Vermaelen, Robert Vishny, Ivo Welch, and a referee have been helpful. Kenneth French and Jay Ritter get special thanks.1 (1998)Market efficiency, long-term …Technical analysis of stock trends (1997)Technical analysis of stock t…An Advisor Neural Network framework using LSTM-based Informative Stock Analysis (2024)An Advisor Neural Network fra…Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI (2023)Role of proliferation COVID-1…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)Twitter mood predicts the stock market (2011)What can big data and text analytics tell us about hotel guest experience and satisfaction? (2014)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Evaluating multiple classifiers for stock price direction prediction (2015)Sentiment analysis on social media for stock movement prediction (2015)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Common risk factors in the returns on stocks and bonds (1993)A model of investor sentiment / (1997)Investor Psychology and Security Market Under‐ and Overreactions (1998)A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets (1999)Does the Stock Market Overreact? (1985)Hierarchical structure in financial markets (1999)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? 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(2020)Econometric Analysis of Panel Data (2021)Why Does Stock Market Volatility Change Over Time? (1989)A Theory of Friendly Boards (2007)Financial markets under the global pandemic of COVID-19 (2020)Investor Rewards to Environmental Responsibility in the COVID-19 Crisis (2020)The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets (2021)The impact of COVID-19 on the stock market crash risk in China (2021)Autoregressive conditional heteroskedasticity and changes in regime (1994)COVID-19 and finance: Agendas for future research (2020)COVID-19 pandemic and firm performance: Cross-country evidence (2021)Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany (2021)Financial applications of machine learning: A literature review (2023)The General Theory of Employment, Interest and Money. 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References

  • 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market4,971 cited
  • 1998Market efficiency, long-term returns, and behavioral finance1The comments of Brad Barber, David Hirshleifer, S.P. Kothari, Owen Lamont, Mark Mitchell, Hersh Shefrin, Robert Shiller, Rex Sinquefield, Richard Thaler, Theo Vermaelen, Robert Vishny, Ivo Welch, and a referee have been helpful. Kenneth French and Jay Ritter get special thanks.12,780 cited
  • 2020Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns1,557 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,174 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies854 cited
  • 2009Textual analysis of stock market prediction using breaking financial news784 cited
  • 2021Applications of deep learning in stock market prediction: Recent progress774 cited
  • 2020COVID-19 and the march 2020 stock market crash. Evidence from S&P1500726 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables671 cited
  • 2020COVID-19 and stock market volatility: An industry level analysis544 cited
  • 2014News impact on stock price return via sentiment analysis506 cited
  • 2018Stock Movement Prediction from Tweets and Historical Prices462 cited
  • 2020Stock market movement forecast: A Systematic review

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408 cited
  • 2020Stock price prediction using deep learning and frequency decomposition398 cited
  • 1997Technical analysis of stock trends362 cited
  • 2018Listening to Chaotic Whispers274 cited
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    • 2024An Advisor Neural Network framework using LSTM-based Informative Stock Analysis28 cited
    • 2023Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI24 cited