Stock Index Forecasting Model with Correction of Macroeconomic Factors Based on Gray Neural Network
Wen Shang-min · IEEE Software · 2012
Tradional single model can only partially reflect the information of stock index due to its non-linear and uncertain characteristic,which makes the precision rough.Different single models considered from different angles have their own merits and demerits.For better exactness and to make the most of merits of different single models,the paper provides a new model with correction of macroeconomic factors based on gray neural network.