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Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm
16 references·1 citing·44 second hop
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm (2021)Effective forecasting of stock market pri…The application research of neural network and BP algorithm in stock price pattern classification and prediction (2020)The application research of n…Stock market movement forecast: A Systematic review (2020)Stock market movement forecas…Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms (2019)Stock price prediction using …CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…Stock market index prediction using artificial neural network (2016)Stock market index prediction…Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market (2016)Application of artificial neu…A new metric of absolute percentage error for intermittent demand forecasts (2016)A new metric of absolute perc…Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Support vector regression wit…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Integration of genetic fuzzy …Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Forecasting stock indices usi…Selecting macroeconomic variables as explanatory factors of emerging stock market returns (2001)Selecting macroeconomic varia…The Microeconomics of Market Making (1986)The Microeconomics of Market …Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting (2023)A Comprehensive Survey on Hig…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting daily stock market return using dimensionality reduction (2016)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Neural Network Models for Time Series Forecasts (1996)Forecasting stock market movement direction with support vector machine (2004)Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Stock prediction using deep learning (2016)Systematic analysis and review of stock market prediction techniques (2019)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)Forecasting methods and applications (1993)Another look at measures of forecast accuracy (2006)Automatic Time Series Forecasting: The forecast Package for R (2008)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021)Forecast evaluation for data scientists: common pitfalls and best practices (2022)A neural network approach for credit risk evaluation (2007)Modelling carbon emission intensity: Application of artificial neural network (2019)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)PORTFOLIO SELECTION* (1952)Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy? (2007)Deep learning with long short-term memory networks for financial market predictions (2017)Deep Learning for Stock Market Prediction (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Twitter mood predicts the stock market (2011)Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Transformer-based attention network for stock movement prediction (2022)Survey of feature selection and extraction techniques for stock market prediction (2023)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)The politics of attention: how government prioritizes problems (2006)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Some recent development in a concept of causality (1988)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
this work references cited by second hop

References

  • 1971Time Series Analysis Forecasting and Control.6,714 cited
  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 2016A new metric of absolute percentage error for intermittent demand forecasts1,150 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
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting466 cited
  • 2010Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm400 cited
  • 2016Stock market index prediction using artificial neural network396 cited
  • 2020Stock market movement forecast: A Systematic review374 cited
  • 2010Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting371 cited
  • 1986The Microeconomics of Market Making348 cited
  • 2019Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms293 cited
  • 2001Selecting macroeconomic variables as explanatory factors of emerging stock market returns279 cited

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2016
Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market
230 cited
  • 2020The application research of neural network and BP algorithm in stock price pattern classification and prediction225 cited
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    • 2023A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting40 cited