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Comparison of ARIMA and artificial neural networks models for stock price prediction
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نویسنده
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adebiyi a.a. ,adewumi a.o. ,ayo c.k.
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منبع
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journal of applied mathematics - 2014 - دوره : 2014 - شماره : 0
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چکیده
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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. © 2014 ayodele ariyo adebiyi et al.
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آدرس
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school of mathematics,statistics and computer science,university of kwazulu-natal westville, South Africa, school of mathematics,statistics and computer science,university of kwazulu-natal westville, South Africa, department of computer and information sciences,covenant university, Nigeria
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Authors
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