Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction

Ayodele Ariyo Adebiyi, Aderemi Oluyinka Adewumi, Charles Korede Ayo
2014 Journal of Applied Mathematics  
This paper examines the forecasting performance of ARIMA and artificial neural networks model with published stock data obtained from New York Stock Exchange. The empirical results obtained reveal the superiority of neural networks model over ARIMA model. The findings further resolve and clarify contradictory opinions reported in literature over the superiority of neural networks and ARIMA model and vice versa.
doi:10.1155/2014/614342 fatcat:4jpcs7yf2zcplnhi65bc3vayfy