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Innovations in Management Forecast: Time Development of Stock Prices with Neural Networks
16 references·0 citing·57 second hopsampled
Innovations in Management Forecast: Time Development of Stock Prices with Neural Networks (2020)Innovations in Management Forecast: Time …Predicting the stock price of frontier markets using machine learning and modified Black–Scholes Option pricing model (2020)Predicting the stock price of…Systematic analysis and review of stock market prediction techniques (2019)Systematic analysis and revie…Market anomalies and data persistence: The case of the day-of-the-week effect (2019)Market anomalies and data per…Stock Price Prediction using Artificial Neural Model: An Application of Big Data (2018)Stock Price Prediction using …Stock Prediction Using Convolutional Neural Network (2018)Stock Prediction Using Convol…Estimating stock closing indices using a GA-weighted condensed polynomial neural network (2018)Estimating stock closing indi…Benchmark dataset for mid‐price forecasting of limit order book data with machine learning methods (2018)Benchmark dataset for mid‐pri…Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets (2017)Predictability of machine lea…Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model (2016)Predicting the Direction of S…Oil price forecasting using gene expression programming and artificial neural networks (2016)Oil price forecasting using g…Financial Time Series Prediction Using Elman Recurrent Random Neural Networks (2016)Financial Time Series Predict…Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices (2015)Artificial chemical reaction …A Stock Market Forecasting Model Combining Two-Directional Two-Dimensional Principal Component Analysis and Radial Basis Function Neural Network (2015)A Stock Market Forecasting Mo…Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks (2011)Stock Market Prediction with …CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator (2011)CAST: Using neural networks t…The Use of Neural Networks in the Prediction of the Stock Exchange of Thailand (SET) Index (2008)The Use of Neural Networks in…A theory of power-law distributions in financial market fluctuations (2003)A fusion model of HMM, ANN and GA for stock market forecasting (2006)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Artificial Neural Network and Genetic Algorithm Hybrid Intelligence for Predicting Thai Stock Price Index Trend (2016)RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction (2020)Portfolio management system in equity market neutral using reinforcement learning (2021)A TSK type fuzzy rule based system for stock price prediction (2006)Surveying stock market forecasting 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(2017)Interval decomposition ensemble approach for crude oil price forecasting (2018)Monthly crude oil spot price forecasting using variational mode decomposition (2019)In Search of Attention (2011)Predicting the Present with Google Trends (2012)A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine (2019)Financial Forecasting with Machine Learning: Price Vs Return (2021)Using a novel clustered 3D-CNN model for improving crop future price prediction (2022)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data (2009)High-Frequency Trading and Price Discovery (2014)Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data (2019)Using Deep Learning for price prediction by exploiting stationary limit order book features (2020)Forecasting mid-price movement of Bitcoin futures using machine learning (2021)Support vector machine with adaptive parameters in financial time series forecasting (2003)2013 IEEE International Conference on Big Data (2013)Stock market's price movement prediction with LSTM neural networks (2017)The Application of Stock Index Price Prediction with Neural Network (2020)Stock Prediction Based on Technical Indicators Using Deep Learning Model (2021)Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques (2022)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock Price Prediction Using the ARIMA Model (2014)Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Portfolio optimization with return prediction using deep learning and machine learning (2020)
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References

  • 2019Systematic analysis and review of stock market prediction techniques335 cited
  • 2016Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model263 cited
  • 2018Stock Prediction Using Convolutional Neural Network137 cited
  • 2016Oil price forecasting using gene expression programming and artificial neural networks127 cited
  • 2018Benchmark dataset for mid‐price forecasting of limit order book data with machine learning methods117 cited
  • 2011CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator100 cited
  • 2016Financial Time Series Prediction Using Elman Recurrent Random Neural Networks98 cited
  • 2017Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets80 cited
  • 2011Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks77 cited
  • 2015Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices55 cited
  • 2020Predicting the stock price of frontier markets using machine learning and modified Black–Scholes Option pricing model51 cited
  • 2008The Use of Neural Networks in the Prediction of the Stock Exchange of Thailand (SET) Index49 cited
  • 2018Estimating stock closing indices using a GA-weighted condensed polynomial neural network

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49 cited
  • 2018Stock Price Prediction using Artificial Neural Model: An Application of Big Data39 cited
  • 2015A Stock Market Forecasting Model Combining Two-Directional Two-Dimensional Principal Component Analysis and Radial Basis Function Neural Network39 cited
  • 2019Market anomalies and data persistence: The case of the day-of-the-week effect28 cited
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