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A hybrid fuzzy time series model based on granular computing for stock price forecasting
16 references·16 citing·23 second hopsampled
A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)A hybrid fuzzy time series model based on…Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…The application of neural networks to forecast fuzzy time series (2005)The application of neural net…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…Effective lengths of intervals to improve forecasting in fuzzy time series (2001)Effective lengths of interval…Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)The magical number seven, plu…Forecasting enrollments with fuzzy time series — part II (1994)Forecasting enrollments with …On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…Forecasting enrollments with fuzzy time series — Part I (1993)Forecasting enrollments with …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 (1977)Time Series Analysis: Forecas…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks (2023)Stock index forecasting based…FQTSFM: A fuzzy-quantum time series forecasting model (2021)FQTSFM: A fuzzy-quantum time …Fine-tuned support vector regression model for stock predictions (2021)Fine-tuned support vector reg…Financial market prediction under deep learning framework using auto encoder and kernel extreme learning machine (2020)Financial market prediction u…Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting (2020)Advantages of direct input-to…A Labeling Method for Financial Time Series Prediction Based on Trends (2020)A Labeling Method for Financi…Designing fuzzy time series forecasting models: A survey (2019)Designing fuzzy time series f…Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis (2018)Hybrid Variational Mode Decom…Aggregating multiple types of complex data in stock market prediction: A model-independent framework (2018)Aggregating multiple types of…A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches (2018)A hybrid fuzzy time series fo…Stock market prediction and Portfolio selection models: a survey (2017)Stock market prediction and P…Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting (2016)Improved v -Support vector re…Fuzzy time series forecasting method based on hesitant fuzzy sets (2016)Fuzzy time series forecasting…An intelligent pattern recognition model for supporting investment decisions in stock market (2016)An intelligent pattern recogn…A novel forecasting method based on multi-order fuzzy time series and technical analysis (2016)A novel forecasting method ba…A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)A new fuzzy time series forec…Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)ARCH modeling in finance (1992)The Cross‐Section of Volatility and Expected Returns (2006)Econometric Analysis of Cross Section and Panel Data (2001)A scaling method for priorities in hierarchical structures (1977)How to make a decision: The analytic hierarchy process (1990)The theory of planned behavior (1991)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)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)Using artificial neural network models in stock market index prediction (2011)
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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
  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1994The magical number seven, plus or minus two: Some limits on our capacity for processing information.17,161 cited
  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks9,041 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1986Generalized autoregressive conditional heteroscedasticity1,810 cited
  • 1993Forecasting enrollments with fuzzy time series — Part I1,255 cited
  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 1994Forecasting enrollments with fuzzy time series — part II789 cited
  • 2001Effective lengths of intervals to improve forecasting in fuzzy time series583 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited

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2010
Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm
399 cited
  • 2005The application of neural networks to forecast fuzzy time series308 cited
  • Cited by

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    • 2018A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches137 cited
    • 2019Designing fuzzy time series forecasting models: A survey129 cited
    • 2016Fuzzy time series forecasting method based on hesitant fuzzy sets126 cited
    • 2016A novel forecasting method based on multi-order fuzzy time series and technical analysis118 cited
    • 2020Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting112 cited
    • 2016An intelligent pattern recognition model for supporting investment decisions in stock market99 cited
    • 2020Financial market prediction under deep learning framework using auto encoder and kernel extreme learning machine90 cited
    • 2016Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting89 cited
    • 2020A Labeling Method for Financial Time Series Prediction Based on Trends78 cited
    • 2021FQTSFM: A fuzzy-quantum time series forecasting model77 cited
    • 2018Aggregating multiple types of complex data in stock market prediction: A model-independent framework74 cited
    • 2023Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks69 cited
    • 2017Stock market prediction and Portfolio selection models: a survey68 cited