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Stock Price Prediction Using Support Vector Machine Approach
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Stock Price Prediction Using Support Vector Machine Approach (2019)Stock Price Prediction Using Support Vect…Stock Price Prediction Using K-Nearest Neighbor (kNN) Algorithm (2013)Stock Price Prediction Using …A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression (2008)A two-stage architecture for …Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets (2006)Comparison of support-vector …Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Volatility forecasting from multiscale and high-dimensional market data (2003)Volatility forecasting from m…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Stock selection using support vector machines (2002)Stock selection using support…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Multiperiod Consumption-Investment Decisions (1975)Dividend yields and expected stock returns (1988)The Cross-Section of Expected Stock Returns (1992)A Double-Stage Genetic Optimization Algorithm for Portfolio Selection (2006)Asset portfolio optimization using support vector machines and real-coded genetic algorithm (2011)Research on Quantitative Investment Strategies Based on Deep Learning (2019)Forecasting stock market movement direction with support vector machine (2004)Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations (2015)A survey on machine learning models for financial time series forecasting (2022)China’s commercial bank stock price prediction using a novel K-means-LSTM hybrid approach (2022)Fractional Brownian Motions, Fractional Noises and Applications (1968)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Forecasting the Volatility of Stock Price Index (2006)Forecasting Volatility of Energy Commodities: Comparison of GARCH Models with Support Vector Regression (2020)Machine Learning Algorithm for Cryptocurrencies Price Prediction (2021)Forecasting with artificial neural networks: (1998)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)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)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Economic Forces and the Stock Market (1986)Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models (2014)A Comparison between Regression, Artificial Neural Networks and Support Vector Machines for Predicting Stock Market Index (2015)A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting (2015)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)The Behavior of Stock-Market Prices (1965)Efficient Capital Markets: II (1991)Stock Market Forecasting using Machine Learning: Today and Tomorrow (2019)Series decomposition Transformer with period-correlation for stock market index prediction (2023)StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting (2024)Support vector machine with adaptive parameters in financial time series forecasting (2003)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Machine Learning for Active Portfolio Management (2021)Textual Information and IPO Underpricing: A Machine Learning Approach (2023)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2008A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression140 cited
  • 2006Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets139 cited
  • 2013Stock Price Prediction Using K-Nearest Neighbor (kNN) Algorithm133 cited
  • 2004Forecasting stock market movement direction with support vector machine109 cited
  • 2002Stock selection using support vector machines77 cited
  • 2003Volatility forecasting from multiscale and high-dimensional market data58 cited

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