Predicting net asset value of investment fund based on BP neural network
Hongcheng Yan, Wenyi Liu, Xiuying Liu, Huihua Kong, Chufu Lv · 2010
Based on systematic analysis of BP neural network, a back-propagation neural network predicting model is proposed to forecast the net asset value (NAV) of investment fund by identification characteristic of neural network. Empirical analysis on HUAXIACHENGZHANG shows that the neural network predicting model has good nonlinear reflection ability, learning ability and prediction precision. The predicting model is effective and applicable in forecasting NAV tendency and inflexion of funds.