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

Joint Authors

Adebiyi, Ayodele Ariyo
Ayo, Charles Korede
Adewumi, Aderemi Oluyinka

Source

Journal of Applied Mathematics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-05

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Adebiyi, Ayodele Ariyo& Adewumi, Aderemi Oluyinka& Ayo, Charles Korede. 2014. Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-485227

Modern Language Association (MLA)

Adebiyi, Ayodele Ariyo…[et al.]. Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-485227

American Medical Association (AMA)

Adebiyi, Ayodele Ariyo& Adewumi, Aderemi Oluyinka& Ayo, Charles Korede. Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-485227

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-485227