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Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks
7 references·7 citing·51 second hop
Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks (2011)Stock Market Prediction with Multiple Reg…Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Integration of genetic fuzzy …Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis (2009)Adapted Neuro-Fuzzy Inference…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Kernel principal component analysis and support vector machines for stock price prediction (2007)Kernel principal component an…Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance—A case study of venture capital enterprises in Taiwan (2007)Applying Grey Relational Anal…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…The adaptive selection of financial and economic variables for use with artificial neural networks (2003)The adaptive selection of fin…Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models (2021)Stock Price Prediction Using …E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing (2021)E-Commerce Enterprise Supply …Development of stock market trend prediction system using multiple regression (2019)Development of stock market t…Back propagation neural network based big data analytics for a stock market challenge (2018)Back propagation neural netwo…Stock market prediction using an improved training algorithm of neural network (2016)Stock market prediction using…Classification and Prediction of Stock Market Index Based on Fuzzy Metagraph (2015)Classification and Prediction…On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices (2013)On the development and perfor…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)Time series forecasting using a hybrid ARIMA and neural network model (2003)An intelligent short term stock trading fuzzy system for assisting investors in portfolio management (2015)Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange (2017)Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms (2022)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)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)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Stock market forecasting using hidden Markov model: a new approach (2005)Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming (2010)Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Systematic analysis and review of stock market prediction techniques (2019)Asset returns and inflation (1977)Efficient Capital Markets: II (1991)The Cross-Section of Expected Stock Returns (1992)Predicting stock market price using support vector regression (2013)Pattern graph tracking-based stock price prediction using big data (2017)Stock market index prediction based on reservoir computing models (2021)Introduction to Grey system theory (1989)Grandstanding, certification and the underpricing of venture capital backed IPOs (2004)The risk and return of venture capital (2004)A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems (2014)Service supply chain environmental performance evaluation using grey based hybrid MCDM approach (2015)Simple additive weighting—A metamodel for multiple criteria decision analysis methods (2016)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Prediction-based portfolio optimization model using neural networks (2009)Financial time series forecasting with machine learning techniques: A survey (2010)Forecasting S&P 500 index using artificial neural networks and design of experiments (2013)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Common risk factors in the returns on stocks and bonds (1993)Predictability of Stock Returns: Robustness and Economic Significance (1995)Stock return predictability and model uncertainty (2002)Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment (2018)Analyzing Stock Market Movements Using Twitter Sentiment Analysis (2012)Stock Price Prediction Using the ARIMA Model (2014)Study of Effectiveness of Time Series Modeling (Arima) in Forecasting Stock Prices (2014)Detection and classification of social media-based extremist affiliations using sentiment analysis techniques (2019)Exploring deep neural networks for rumor detection (2019)Enhancing the Prediction of Stock Market Movement Using Neutrosophic-Logic-Based Sentiment Analysis (2024)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market (2019)Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction (2021)A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms (2022)
this work references cited by second hop

References

  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2010Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting371 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2007Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance—A case study of venture capital enterprises in Taiwan232 cited
  • 2003The adaptive selection of financial and economic variables for use with artificial neural networks176 cited
  • 2009Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis113 cited
  • 2007Kernel principal component analysis and support vector machines for stock price prediction87 cited

Cited by

  • 2019Development of stock market trend prediction system using multiple regression75 cited
  • 2016Stock market prediction using an improved training algorithm of neural network75 cited
  • 2015Classification and Prediction of Stock Market Index Based on Fuzzy Metagraph75 cited
  • 2021Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models57 cited
  • 2018Back propagation neural network based big data analytics for a stock market challenge42 cited
  • 2013On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices

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36 cited
  • 2021E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing24 cited