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Predicting Stock Price Using Two-Stage Machine Learning Techniques
16 references·5 citing·37 second hop
Predicting Stock Price Using Two-Stage Machine Learning Techniques (2020)Predicting Stock Price Using Two-Stage Ma…Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning-based feature e…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)A feature weighted support ve…A deep learning ensemble approach for crude oil price forecasting (2017)A deep learning ensemble appr…Evaluating multiple classifiers for stock price direction prediction (2015)Evaluating multiple classifie…Recurrent neural network and a hybrid model for prediction of stock returns (2014)Recurrent neural network and …Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Constructivist and Ecological Rationality in Economics (2003)Constructivist and Ecological…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…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…Stock Market Forecasting Using the Random Forest and Deep Neural Network Models Before and During the COVID-19 Period (2022)Stock Market Forecasting Usin…Poly-linear regression with augmented long short term memory neural network: Predicting time series data (2022)Poly-linear regression with a…AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators (2022)AEI-DNET: A Novel DenseNet Mo…Quantum Computing and Deep Learning Methods for GDP Growth Forecasting (2021)Quantum Computing and Deep Le…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Forecasting with artificial neural networks: (1998)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Governing the Commons: The Evolution of Institutions for Collective Action (1992)Invited Editorial: Why Micro-Foundations for Resource-Based Theory Are Needed and What They May Look Like (2010)An Effectual Approach to International Entrepreneurship: Overlaps, Challenges, and Provocative Possibilities (2013)Predicting short-term stock prices using ensemble methods and online data sources (2018)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)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)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? (2007)Applications of deep learning in stock market prediction: Recent progress (2021)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A desicion-theoretic generalization of on-line learning and an application to boosting (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Literature review: Machine learning techniques applied to financial market prediction (2019)Econometric Analysis of Cross Section and Panel Data (2001)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Text as Data (2019)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2003Constructivist and Ecological Rationality in Economics961 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2015Evaluating multiple classifiers for stock price direction prediction597 cited
  • 2014Recurrent neural network and a hybrid model for prediction of stock returns506 cited
  • 2018Deep learning-based feature engineering for stock price movement prediction483 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 2017

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A deep learning ensemble approach for crude oil price forecasting
383 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction382 cited
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    • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited