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

نویسندگان

  • Ayodele Ariyo Adebiyi
  • Aderemi Oluyinka Adewumi
  • Charles K. Ayo
چکیده

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.

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عنوان ژورنال:
  • J. Applied Mathematics

دوره 2014  شماره 

صفحات  -

تاریخ انتشار 2014