Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction
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 con...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/614342 |
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| _version_ | 1832567242178428928 |
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| author | Ayodele Ariyo Adebiyi Aderemi Oluyinka Adewumi Charles Korede Ayo |
| author_facet | Ayodele Ariyo Adebiyi Aderemi Oluyinka Adewumi Charles Korede Ayo |
| author_sort | Ayodele Ariyo Adebiyi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8eb88b9a1c4444f0b2b8b288dbb74c73 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-8eb88b9a1c4444f0b2b8b288dbb74c732025-02-03T01:01:56ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/614342614342Comparison of ARIMA and Artificial Neural Networks Models for Stock Price PredictionAyodele Ariyo Adebiyi0Aderemi Oluyinka Adewumi1Charles Korede Ayo2School of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Westville, Durban, South AfricaSchool of Mathematics, Statistics & Computer Science, University of KwaZulu-Natal, Westville, Durban, South AfricaDepartment of Computer and Information Sciences, Covenant University, Ota, NigeriaThis 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.http://dx.doi.org/10.1155/2014/614342 |
| spellingShingle | Ayodele Ariyo Adebiyi Aderemi Oluyinka Adewumi Charles Korede Ayo Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction Journal of Applied Mathematics |
| title | Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction |
| title_full | Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction |
| title_fullStr | Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction |
| title_full_unstemmed | Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction |
| title_short | Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction |
| title_sort | comparison of arima and artificial neural networks models for stock price prediction |
| url | http://dx.doi.org/10.1155/2014/614342 |
| work_keys_str_mv | AT ayodeleariyoadebiyi comparisonofarimaandartificialneuralnetworksmodelsforstockpriceprediction AT aderemioluyinkaadewumi comparisonofarimaandartificialneuralnetworksmodelsforstockpriceprediction AT charleskoredeayo comparisonofarimaandartificialneuralnetworksmodelsforstockpriceprediction |