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Forecasting leading industry stock prices based on a hybrid time-series forecast model
16 references·1 citing·51 second hop
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References

  • 1971Time Series Analysis Forecasting and Control.6,904 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 1999Using genetic algorithms to find technical trading rules868 cited
  • 2011Oil prices, exchange rates and emerging stock markets729 cited
  • 2006ARIMA forecasting of primary energy demand by fuel in Turkey626 cited
  • 1998Book-to-market ratios as predictors of market returns571 cited
  • 2001Financial time series prediction using least squares support vector machines within the evidence framework506 cited
  • 2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting471 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction320 cited
  • 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support277 cited
  • 2010A multiple-kernel support vector regression approach for stock market price forecasting255 cited
  • 2007A bivariate fuzzy time series model to forecast the TAIEX220 cited
  • 2010A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting212 cited
  • 2012Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction

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201 cited
  • 2007A type-2 fuzzy rule-based expert system model for stock price analysis189 cited
  • 2010Predicting stock returns by classifier ensembles169 cited
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    • 2023Analysis of Nifty 50 index stock market trends using hybrid machine learning model in quantum finance24 cited