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Application of type-2 neuro-fuzzy modeling in stock price prediction
16 references·5 citing·31 second hop
Application of type-2 neuro-fuzzy modeling in stock price prediction (2011)Application of type-2 neuro-fuzzy modelin…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)A novel hybridization of arti…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Financial time series prediction using least squares support vector machines within the evidence framework (2001)Financial time series predict…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Comparative study of stock tr…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Generalized autoregressive conditional heteroscedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis, Forecas…Predicting Stock Price Using Two-Stage Machine Learning Techniques (2020)Predicting Stock Price Using …Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction (2019)Chaotic Type-2 Transient-Fuzz…An interpretable neuro-fuzzy approach to stock price forecasting (2017)An interpretable neuro-fuzzy …Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis (2015)Hybrid nonlinear adaptive sch…Stock Prediction by Searching for Similarities in Candlestick Charts (2014)Stock Prediction by Searching…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)Time series forecasting using a hybrid ARIMA and neural network model (2003)A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)An optimized model using LSTM network for demand forecasting (2020)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Designing a neural network for forecasting financial and economic time series (1996)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting daily stock market return using dimensionality reduction (2016)Deep learning for financial applications : A survey (2020)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using independent component analysis and support vector regression (2009)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series forecasting with multi-modality graph neural network (2021)Econometric Analysis of Cross Section and Panel Data (2001)NSE Stock Market Prediction Using Deep-Learning Models (2018)Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market (1990)Why Do Markets Move Together? An Investigation of U.S.‐Japan Stock Return Comovements (1996)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)Long memory relationships and the aggregation of dynamic models (1980)Understanding spurious regressions in econometrics (1986)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 1971Time Series Analysis, Forecasting and Control.2,771 cited
  • 1986Generalized autoregressive conditional heteroscedasticity1,810 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
  • 2001Financial time series prediction using least squares support vector machines within the evidence framework499 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction

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319 cited
  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • Cited by

    • 2019Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction70 cited
    • 2017An interpretable neuro-fuzzy approach to stock price forecasting59 cited
    • 2015Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis53 cited
    • 2020Predicting Stock Price Using Two-Stage Machine Learning Techniques53 cited
    • 2014Stock Prediction by Searching for Similarities in Candlestick Charts45 cited