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Integration of nonlinear independent component analysis and support vector regression for stock price forecasting
11 references·16 citing·34 second hop
Integration of nonlinear independent component analysis and support vector regression for stock price forecasting (2012)Integration of nonlinear independent comp…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…Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Application of support vector machines in financial time series forecasting (2001)Application of support vector…An investigation of neural networks for linear time-series forecasting (2001)An investigation of neural ne…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyForecasts for international financial series with VMD algorithms (2022)Forecasts for international f…A New Stock Price Forecasting Method Using Active Deep Learning Approach (2022)A New Stock Price Forecasting…Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Machine learning models predi…A denoising carbon price forecasting method based on the integration of kernel independent component analysis and least squares support vector regression (2021)A denoising carbon price fore…Energy futures price prediction and evaluation model with deep bidirectional gated recurrent unit neural network and RIF-based algorithm (2020)Energy futures price predicti…Energy price prediction based on independent component analysis and gated recurrent unit neural network (2019)Energy price prediction based…A combined Independent Component Analysis–Neural Network model for forecasting exchange rate variation (2019)A combined Independent Compon…Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model (2018)Short-Term Forecasting for En…Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)Integrating principle compone…A hybrid financial trading support system using multi-category classifiers and random forest (2018)A hybrid financial trading su…Stock Market Prediction Performance of Neural Networks: A Literature Review (2017)Stock Market Prediction Perfo…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…Forecasting financial time series using a methodology based on autoregressive integrated moving average and Taylor expansion (2016)Forecasting financial time se…A Stock Market Forecasting Model Combining Two-Directional Two-Dimensional Principal Component Analysis and Radial Basis Function Neural Network (2015)A Stock Market Forecasting Mo…Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)Sales forecasting of computer…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention (2002)A meta-analysis of international tourism demand forecasting and implications for practice (2014)Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm (2014)New developments in tourism and hotel demand modeling and forecasting (2017)Stock market prediction system with modular neural networks (1990)Introduction to financial forecasting (1996)Stock market forecasting using hidden Markov model: a new approach (2005)Forecasting daily stock market return using dimensionality reduction (2016)Predicting the direction of stock market prices using tree-based classifiers (2018)Designing a neural network for forecasting financial and economic time series (1996)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)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Stock price prediction using support vector regression on daily and up to the minute prices (2018)Optimizing LSTM for time series prediction in Indian stock market (2020)Machine learning techniques and data for stock market forecasting: A literature review (2022)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
this work references cited by second hop

References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 2006Support vector regression with genetic algorithms in forecasting tourism demand378 cited
  • 2001An investigation of neural networks for linear time-series forecasting194 cited

Cited by

  • 2013Sales forecasting of computer products based on variable selection scheme and support vector regression112 cited
  • 2016Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting89 cited
  • 2018Integrating principle component analysis and weighted support vector machine for stock trading signals prediction

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  • 2019Energy price prediction based on independent component analysis and gated recurrent unit neural network58 cited
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  • 2016Forecasting financial time series using a methodology based on autoregressive integrated moving average and Taylor expansion49 cited
  • 2020Energy futures price prediction and evaluation model with deep bidirectional gated recurrent unit neural network and RIF-based algorithm42 cited
  • 2022Forecasts for international financial series with VMD algorithms39 cited
  • 2015A Stock Market Forecasting Model Combining Two-Directional Two-Dimensional Principal Component Analysis and Radial Basis Function Neural Network39 cited
  • 2017Stock Market Prediction Performance of Neural Networks: A Literature Review37 cited