SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Incorporating feature selection method into support vector regression for stock index forecasting
16 references·1 citing·36 second hop
Incorporating feature selection method into support vector regression for stock index forecasting (2012)Incorporating feature selection method in…Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case (2011)Forecasting short-term electr…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…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…Judgmental forecasting: A review of progress over the last 25years (2006)Judgmental forecasting: A rev…25 years of time series forecasting (2006)25 years of time series forec…Neural networks in finance : gaining predictive edge in the market (2005)Neural networks in finance : …Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)Mining the customer credit us…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…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…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Introduction to financial forecasting (1996)Introduction to financial for…Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (1994)Trading on the Edge: Neural, …Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches (2014)Recognition of Process Distur…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)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)The Cross-Section of Expected Stock Returns (1992)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Comparing Predictive Accuracy (1994)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)Judgment under Uncertainty: Heuristics and Biases (1975)Judgment Under Uncertainty: Heuristics and Biases. (1984)The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. (1996)Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning (2009)Evaluating early warning indicators of banking crises: Satisfying policy requirements (2014)Retail forecasting: Research and practice (2019)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)On the use of cross-validation for time series predictor evaluation (2012)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Neural network credit scoring models (2000)Deep learning for financial applications : A survey (2020)Stock market movement forecast: A Systematic review (2020)Artificial intelligence and machine learning in finance: A bibliometric review (2022)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)
this work references cited by second hop

References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 200625 years of time series forecasting1,589 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 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
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2006Judgmental forecasting: A review of progress over the last 25years535 cited
  • 1996Introduction to financial forecasting401 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 2004Mining the customer credit using classification and regression tree and multivariate adaptive regression splines378 cited
  • 1994Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets261 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2005Neural networks in finance : gaining predictive edge in the market224 cited
  • 2011Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case192 cited
  • Cited by

    • 2014Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches8 cited