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Financial time series forecasting using LPP and SVM optimized by PSO
16 references·8 citing·39 second hop
Financial time series forecasting using LPP and SVM optimized by PSO (2012)Financial time series forecasting using L…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting direction of stock…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series (2005)An empirical investigation of…A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series (2005)A comparison of direct and it…Weighted fuzzy time series models for TAIEX forecasting (2004)Weighted fuzzy time series mo…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (2004)A comparison between Fama and…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Modified support vector machines in financial time series forecasting (2002)Modified support vector machi…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the fin…Forecasting enrollments based on fuzzy time series (1996)Forecasting enrollments based…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)EFFICIENT CAPITAL MARKETS: A …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method (2022)A Novel Ensemble Learning App…Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method (2021)Fuzzy time series forecasting…RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction (2020)RETRACTED ARTICLE: Grey Wolf …Stock Market Prediction Using Machine Learning (2019)Stock Market Prediction Using…Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models (2016)Forecasting East Asian Indice…Comparative Study between FPA, BA, MCS, ABC, and PSO Algorithms in Training and Optimizing of LS-SVM for Stock Market Prediction (2015)Comparative Study between FPA…An alternative model for the analysis of detecting electronic industries earnings management using stepwise regression, random forest, and decision tree (2015)An alternative model for the …Financial time series prediction by a random data-time effective RBF neural network (2013)Financial time series predict…Fuzzy sets (1965)The concept of a linguistic variable and its application to approximate reasoning—II (1975)Fuzzy sets (1996)Effective lengths of intervals to improve forecasting in fuzzy time series (2001)FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES (2002)Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress 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CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! 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References

  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*15,723 cited
  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 1996Forecasting enrollments based on fuzzy time series1,186 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2005A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series808 cited
  • 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications771 cited
  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 2004Weighted fuzzy time series models for TAIEX forecasting463 cited
  • 2002

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Modified support vector machines in financial time series forecasting
372 cited
  • 2004A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market220 cited
  • 2005An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series175 cited
  • Cited by

    • 2022A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method79 cited
    • 2020RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction74 cited
    • 2013Financial time series prediction by a random data-time effective RBF neural network57 cited
    • 2016Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models49 cited
    • 2021Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method46 cited
    • 2019Stock Market Prediction Using Machine Learning45 cited
    • 2015Comparative Study between FPA, BA, MCS, ABC, and PSO Algorithms in Training and Optimizing of LS-SVM for Stock Market Prediction43 cited
    • 2015An alternative model for the analysis of detecting electronic industries earnings management using stepwise regression, random forest, and decision tree40 cited