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A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation between Stock Markets
16 references·0 citing·49 second hopsampled
A Robust Regression-Based Stock Exchange Forecasting and Determination of Correlation between Stock Markets (2018)A Robust Regression-Based Stock Exchange …Forecasting daily stock market return using dimensionality reduction (2016)Forecasting daily stock marke…An adaptive stock index trading decision support system (2016)An adaptive stock index tradi…Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data (2015)Stock market trading rule bas…Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Integrating metaheuristics an…A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices (2015)A Naïve SVM-KNN based stock m…A SVM Stock Selection Model within PCA (2014)A SVM Stock Selection Model w…An SVM-based approach for stock market trend prediction (2013)An SVM-based approach for sto…A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices (2011)A PSO based integrated functi…A hybrid stock selection model using genetic algorithms and support vector regression (2011)A hybrid stock selection mode…A method for automatic stock trading combining technical analysis and nearest neighbor classification (2010)A method for automatic stock …Development and performance evaluation of FLANN based model for forecasting of stock markets (2008)Development and performance e…A fusion model of HMM, ANN and GA for stock market forecasting (2006)A fusion model of HMM, ANN an…An effective application of decision tree to stock trading (2005)An effective application of d…Mining stock price using fuzzy rough set system (2002)Mining stock price using fuzz…Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques (2002)Forecasting Financial Time Se…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Listening to Chaotic Whispers (2018)Predicting short-term stock prices using ensemble methods and online data sources (2018)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Portfolio formation with preselection using deep learning from long-term financial data (2019)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)A survey on machine learning models for financial time series forecasting (2022)Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Support vector machine with adaptive parameters in financial time series forecasting (2003)Using Volume Weighted Support Vector Machines with walk forward testing and feature selection for the purpose of creating stock trading strategy (2014)Technical analysis strategy optimization using a machine learning approach in stock market indices (2021)Stock market prediction system with modular neural networks (1990)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014)On the Modeling of Financial Time Series (2014)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)Natural language based financial forecasting: a survey (2017)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)Fuzzy sets (1996)Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem (1998)A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories (2008)Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques (2009)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Predicting the direction of stock markets using optimized neural networks with Google Trends (2018)A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)A stock price prediction method based on deep learning technology (2021)Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers (2000)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Stock Market Price Prediction Using LSTM RNN (2018)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)Machine learning approaches in stock market prediction: A systematic literature review (2023)Fuzzy sets (1965)Time series forecasting using a hybrid ARIMA and neural network model (2003)ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)Stock market prediction using machine learning classifiers and social media, news (2020)
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References

  • 2013A Bayesian regularized artificial neural network for stock market forecasting517 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2006A fusion model of HMM, ANN and GA for stock market forecasting360 cited
  • 2015Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction324 cited
  • 2011A hybrid stock selection model using genetic algorithms and support vector regression243 cited
  • 2015Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data186 cited
  • 2013An SVM-based approach for stock market trend prediction178 cited
  • 2010A method for automatic stock trading combining technical analysis and nearest neighbor classification172 cited
  • 2002Mining stock price using fuzzy rough set system172 cited
  • 2008Development and performance evaluation of FLANN based model for forecasting of stock markets166 cited
  • 2015A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices166 cited
  • 2016An adaptive stock index trading decision support system136 cited
  • 2002Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques131 cited
  • 2005An effective application of decision tree to stock trading

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126 cited
  • 2011A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices119 cited
  • 2014A SVM Stock Selection Model within PCA106 cited
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