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Forecasting a Stock Trend Using Genetic Algorithm and Random Forest
16 references·3 citing·45 second hop
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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 …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …The Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A bibliometric literature rev…Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach (2023)Using Social Network Sentimen…Forecasting of NIFTY 50 Index Price by Using Backward Elimination with an LSTM Model (2023)Forecasting of NIFTY 50 Index…Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Applications of deep learning in stock market prediction: Recent progress (2021)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)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)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Investor Psychology and Asset Pricing (2001)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Presidential Address: Discount Rates (2011)Time Series Analysis Forecasting and Control. 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References

  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 1965The Behavior of Stock-Market Prices8,707 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.12,572 cited
  • 2010Encyclopedia of Research Design2,347 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2020Short-term stock market price trend prediction using a comprehensive deep learning system382 cited
  • 2019Stock Market Prediction Based on Generative Adversarial Network313 cited
  • 2021Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions279 cited
  • 2017Survey of stock market prediction using machine learning approach

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214 cited
  • 2012Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction201 cited
  • 2015Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks163 cited
  • 2018Stock Prediction Using Convolutional Neural Network137 cited
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    • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited
    • 2023Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach38 cited
    • 2023Forecasting of NIFTY 50 Index Price by Using Backward Elimination with an LSTM Model33 cited