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Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling
5 references·5 citing·43 second hop
Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling (2010)Stock Forecasting with Feedforward Neural…Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction (2008)Integrating a Piecewise Linea…The Adjustment of Stock Prices to New Information (2003)The Adjustment of Stock Price…On the profitability of technical trading rules based on artificial neural networks: (2000)On the profitability of techn…Does the Stock Market Overreact? (1985)Does the Stock Market Overrea…A Random Walk Down Wall Street (1973)A Random Walk Down Wall StreetEffective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm (2021)Effective forecasting of stoc…Performance Evaluation of Machine Learning Algorithms for Bitcoin Price Prediction (2020)Performance Evaluation of Mac…One-step and multi-step ahead stock prediction using backpropagation neural networks (2013)One-step and multi-step ahead…Feature Selection for Stock Market Analysis (2013)Feature Selection for Stock M…Neural Networks and Wavelet De-Noising for Stock Trading and Prediction (2012)Neural Networks and Wavelet D…Stock market prediction system with modular neural networks (1990)Forecasting with artificial neural networks: (1998)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Deep Stock Ranker: A LSTM Neural Network Model for Stock Selection (2018)Random Walks in Stock Market Prices (1965)Market Statistics and Technical Analysis: The Role of Volume (1994)Random Walks in Stock Market Prices (1995)Stock market trend prediction using AHP and weighted kernel LS-SVM (2016)Dividend Policy, Growth, and the Valuation of Shares (1961)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Behavior of Stock-Market Prices (1965)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Risk, Return, and Equilibrium: Empirical Tests (1973)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Support vector machine with adaptive parameters in financial time series forecasting (2003)A novel model by evolving partially connected neural network for stock price trend forecasting (2011)Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction (2012)Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine (2016)The General Theory of Employment, Interest and Money, by John Maynard Keynes (1936)The General Theory of Employment, Interest and Money. (1936)Judgment Under Uncertainty: Heuristics and Biases. (1984)The Cross-Section of Expected Stock Returns (1992)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Multifactor Explanations of Asset Pricing Anomalies (1996)Efficient Capital Markets: II (1991)A Simple Nonparametric Test of Predictive Performance (1992)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market (2016)A literature review of technical analysis on stock markets (2017)Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)The Adjustment of Stock Prices to New Information (1969)MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction (2023)An artificial neural network (p,d,q) model for timeseries forecasting (2009)An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)A new metric of absolute percentage error for intermittent demand forecasts (2016)A comparative online sales forecasting analysis: Data mining techniques (2022)A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting (2023)Noise Trader Risk in Financial Markets (1990)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)
this work references cited by second hop

References

  • 1985Does the Stock Market Overreact?7,569 cited
  • 2003The Adjustment of Stock Prices to New Information3,063 cited
  • 1973A Random Walk Down Wall Street1,751 cited
  • 2000On the profitability of technical trading rules based on artificial neural networks:243 cited
  • 2008Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction135 cited

Cited by

  • 2013One-step and multi-step ahead stock prediction using backpropagation neural networks43 cited
  • 2021Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm43 cited
  • 2012Neural Networks and Wavelet De-Noising for Stock Trading and Prediction34 cited
  • 2013Feature Selection for Stock Market Analysis34 cited
  • 2020Performance Evaluation of Machine Learning Algorithms for Bitcoin Price Prediction27 cited

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