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Support vector regression with modified firefly algorithm for stock price forecasting
16 references·5 citing·44 second hop
Support vector regression with modified firefly algorithm for stock price forecasting (2018)Support vector regression with modified f…Stock prediction using deep learning (2016)Stock prediction using deep l…Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence (2014)Stock Return Predictability a…Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Support vector regression wit…Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data (2011)Stock return predictability a…A hybrid stock selection model using genetic algorithms and support vector regression (2011)A hybrid stock selection mode…A multiple-kernel support vector regression approach for stock market price forecasting (2010)A multiple-kernel support vec…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…The Efficient Market Hypothesis and Its Critics (2003)The Efficient Market Hypothes…Financial time series forecasting using support vector machines (2003)Financial time series forecas…A hybrid genetic-neural architecture for stock indexes forecasting (2003)A hybrid genetic-neural archi…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Foundations of Technical Anal…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)Stock Market Analysis Using T…Crude oil price forecasting with machine learning and Google search data: An accuracy comparison of single-model versus multiple-model (2023)Crude oil price forecasting w…A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application (2022)A Systematic Procurement Supp…Novel Stock Crisis Prediction Technique—A Study on Indian Stock Market (2021)Novel Stock Crisis Prediction…A Labeling Method for Financial Time Series Prediction Based on Trends (2020)A Labeling Method for Financi…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 Analysis: Forecasting and Control. 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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
  • 2003The Efficient Market Hypothesis and Its Critics2,159 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting466 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 2011Stock return predictability and the adaptive markets hypothesis: Evidence from century-long U.S. data357 cited
  • 2016Stock prediction using deep learning339 cited
  • 2003A hybrid genetic-neural architecture for stock indexes forecasting320 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2014Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence275 cited
  • 2010A multiple-kernel support vector regression approach for stock market price forecasting

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255 cited
  • 2000Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation254 cited
  • 2011A hybrid stock selection model using genetic algorithms and support vector regression243 cited
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    • 2021Novel Stock Crisis Prediction Technique—A Study on Indian Stock Market65 cited
    • 2023Crude oil price forecasting with machine learning and Google search data: An accuracy comparison of single-model versus multiple-model45 cited
    • 2022A Systematic Procurement Supply Chain Optimization Technique Based on Industrial Internet of Things and Application41 cited