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The Stock Index Prediction Based on SVR Model with Bat Optimization Algorithm
14 references·0 citing·42 second hop
The Stock Index Prediction Based on SVR Model with Bat Optimization Algorithm (2021)The Stock Index Prediction Based on SVR M…Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)Forecasting stock price using…Stock market movement forecast: A Systematic review (2020)Stock market movement forecas…Forecasting the Chinese stock volatility across global stock markets (2019)Forecasting the Chinese stock…Evaluation of forecasting methods from selected stock market returns (2019)Evaluation of forecasting met…Stock market index prediction using artificial neural network (2016)Stock market index prediction…A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price (2015)A bat-neural network multi-ag…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Non‐linear, non‐parametric, non‐fundamental exchange rate forecasting (2006)Non‐linear, non‐parametric, n…New Simple Tests for Panel Cointegration (2005)New Simple Tests for Panel Co…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Tests for Forecast Encompassing (1998)Tests for Forecast Encompassi…Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyRank Correlation Methods. (1957)Pooling of forecasts (2004)Time-Varying Risk Premiums and the Output Gap (2008)Short interest and aggregate stock returns (2016)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Statistical analysis of cointegration vectors (1988)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors (1999)A Simple Test for Cointegration in Dependent Panels with Structural Breaks* (2008)Investigating the environmental Kuznets curve (EKC) hypothesis by utilizing the ecological footprint as an indicator of environmental degradation (2014)Dynamic relationship among environmental regulation, innovation, CO2 emissions, population, and economic growth in OECD countries: A panel investigation (2019)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks (2015)Automated trading systems statistical and machine learning methods and hardware implementation: a survey (2018)A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction (2021)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)A neural network approach for credit risk evaluation (2007)Modelling carbon emission intensity: Application of artificial neural network (2019)Systematic analysis and review of stock market prediction techniques (2019)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Twitter mood predicts the stock market (2011)Deep learning with long short-term memory networks for financial market predictions (2017)Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Transformer-based attention network for stock movement prediction (2022)Survey of feature selection and extraction techniques for stock market prediction (2023)Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Stock index forecasting based on a hybrid model (2011)Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)NSE Stock Market Prediction Using Deep-Learning Models (2018)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)
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  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 1998Tests for Forecast Encompassing786 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
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  • 2016Stock market index prediction using artificial neural network396 cited
  • 2020Stock market movement forecast: A Systematic review374 cited
  • 2015A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price175 cited
  • 2021Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models126 cited
  • 2019Evaluation of forecasting methods from selected stock market returns92 cited
  • 2006Non‐linear, non‐parametric, non‐fundamental exchange rate forecasting63 cited
  • 2019Forecasting the Chinese stock volatility across global stock markets27 cited

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