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Neural Networks and Wavelet De-Noising for Stock Trading and Prediction
16 references·2 citing·40 second hop
Neural Networks and Wavelet De-Noising for Stock Trading and Prediction (2012)Neural Networks and Wavelet De-Noising fo…The use of artificial neural networks in the analysis and prediction of stock prices (2011)The use of artificial neural …Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling (2010)Stock Forecasting with Feedfo…Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms (2010)Intelligent trading using sup…Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction (2008)Integrating a Piecewise Linea…AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN (2004)AN INVESTIGATION OF THE HYBRI…The Adjustment of Stock Prices to New Information (2003)The Adjustment of Stock Price…A forecasting approach for stock index future using grey theory and neural networks (2003)A forecasting approach for st…On the profitability of technical trading rules based on artificial neural networks: (2000)On the profitability of techn…A random walk down Wall Street: including a life-cycle guide to personal investing (1996)A random walk down Wall Stree…A multi-component nonlinear prediction system for the S&P 500 index (1996)A multi-component nonlinear p…Neural network time series forecasting of financial markets (1995)Neural network time series fo…Neural Network Time Series: Forecasting of Financial Markets (1994)Neural Network Time Series: F…Forecasting stock returns an examination of stock market trading in the presence of transaction costs (1994)Forecasting stock returns an …Does the Stock Market Overreact? (1985)Does the Stock Market Overrea…A Random Walk Down Wall Street (1973)A Random Walk Down Wall StreetThe Adjustment of Stock Prices to New Information (1969)The Adjustment of Stock Price…MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction (2023)MWDINet: A multilevel wavelet…Feature Selection for Stock Market Analysis (2013)Feature Selection for Stock M…Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Predictability of Stock Returns: Robustness and Economic Significance (1995)Economic factors and the stock market: a new perspective (1999)Decision‐Based Methods for Forecast Evaluation (2004)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)Stock market prediction system with modular neural networks (1990)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 comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A novel model by evolving partially connected neural network for stock price trend forecasting (2011)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)WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS? (2007)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Literature review: Machine learning techniques applied to financial market prediction (2019)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)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)A systematic review of fundamental and technical analysis of stock market predictions (2019)Forecasting with artificial neural networks: (1998)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Combining neural network model with seasonal time series ARIMA model (2002)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting (2010)Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis (2018)
this work references cited by second hop

References

  • 1985Does the Stock Market Overreact?7,569 cited
  • 1969The Adjustment of Stock Prices to New Information4,914 cited
  • 2003The Adjustment of Stock Prices to New Information3,063 cited
  • 1973A Random Walk Down Wall Street1,751 cited
  • 1994Neural Network Time Series: Forecasting of Financial Markets441 cited
  • 1995Neural network time series forecasting of financial markets278 cited
  • 2000On the profitability of technical trading rules based on artificial neural networks:243 cited
  • 1996A random walk down Wall Street: including a life-cycle guide to personal investing231 cited
  • 2008Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction135 cited
  • 1994Forecasting stock returns an examination of stock market trading in the presence of transaction costs132 cited
  • 2011The use of artificial neural networks in the analysis and prediction of stock prices85 cited
  • 2010Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms76 cited
  • 2010Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling53 cited
  • 2004AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN44 cited

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2003
A forecasting approach for stock index future using grey theory and neural networks
40 cited
  • 1996A multi-component nonlinear prediction system for the S&P 500 index37 cited
  • Cited by

    • 2013Feature Selection for Stock Market Analysis34 cited
    • 2023MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction29 cited