The Combined Stock Price Prediction Model based on BP Neural Network and Grey Theory

摘要

Stock market is a complex dynamic system, so it is difficult to reflect market with the trait of mole factors, non-linear and time variety by using the traditional time series prediction technology. In view of the failure to a comprehensive analysis and prediction of the problem by a single prediction method, this chapter puts forward the combination of the BP neural network and grey theory to establish a combined stock price prediction model. The Empirical analysis shows that the new model can provide better prediction than the traditional prediction methods in closing price prediction of stock market.