Stock Returns Forecasting Based on Gray Neural Network
CAO Leixin
SUN Hongbing
Abstract：Stock market is a huge nonlinear dynamic system,so it is difficult to fully reflect the development of the stock market.In this paper,a combined model of grey GM(1,N) and BP neural network are constructed to forecast the yield of Shanghai Stock Exchange,and the result is good.The experimental results can help stock investors to grasp the future trend of the stock market and provide reference to avoid risk of investment.
Keywords：stock returns predictiongrey neural networkgrey GM(1N) prediction modeltechnical analysis
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 24-28 )