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Stock market predictions comprise challenging applications of modern time series forecasting and are essential to the success of many businesses and financial institutions. In this paper, a novel nonlinear combination model is presented for stock market forecasting, which based on Support Vector Machine (SVM) regression combining the linear regression of traditional statistical model with the nonlinear...
In our economic society, future stock price trend is very hot focus that the investors concern about. Challenges still exist in stock price prediction model regarding significant time-effectiveness of prediction, the complexity of methods and selection of feature index variables. In this paper, we present a new approach based on Logistic Regression to predict stock price trend of next month according...
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