Abstract
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.KeywordsBP neural networkGrey theoryCombined predictionStock price
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