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Journal of Applied Mathematics
Volume 2014, Article ID 614342, 7 pages
Research Article

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

1School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Westville, Durban, South Africa
2Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

Received 3 January 2014; Accepted 6 February 2014; Published 5 March 2014

Academic Editor: M. Montaz Ali

Copyright © 2014 Ayodele Ariyo Adebiyi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.