NEURAL NETWORK MODEL VS. SARIMA MODEL IN FORECASTING KOREAN STOCK PRICE INDEX (KOSPI)

摘要

The purpose of this study is to compare the forecasting performance of a neural network (NN) model and a time-series (SARIMA) model in Korean Stock Exchange. In particular, we investigate whether the back-propagation neural network (BPNN)model outperforms