2013
DOI: 10.11648/j.ijiis.20130205.12
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Forecasting the Saudi Arabia Stock Prices Based on Artificial Neural Networks Model

Abstract: Abstract:In this paper, we have proposed artificial neural network for the prediction of Saudi stock market. The proposed predictions model, with its high degree of accuracy, could be used as investment advisor for the investors and traders in the Saudi stock market. The proposed model is based mainly on Saudi Stock market historical data covering a large span of time. Achieving reasonable accuracy rate of predication models will surely facilitate an increased confidence in the investment in the Saudi stock ma… Show more

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Cited by 17 publications
(11 citation statements)
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“…Meanwhile, to predict the Saudi stock prices, Olatunji et al [10] proposed an artificial neural network (ANN) model, applying on three major stock indices: Alrajhi bank, Saudi Telecom Company, and Saudi Basic Industries Corporation SABIC stocks. They only used the previous-day closing price as the model input.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Meanwhile, to predict the Saudi stock prices, Olatunji et al [10] proposed an artificial neural network (ANN) model, applying on three major stock indices: Alrajhi bank, Saudi Telecom Company, and Saudi Basic Industries Corporation SABIC stocks. They only used the previous-day closing price as the model input.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It can also be considered as an indication of realizing share growth potential [1], [6], [17]. [6], [12][13], [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. The main idea behind using these indicators is to evaluate stock price movements based on historical price patterns and volumes.…”
Section: The Important Variables Used In Predicting Share Performancementioning
confidence: 99%
“…Next [6], [12][13], [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. The main idea behind using these indicators is to evaluate stock price movements based on historical price patterns and volumes.…”
Section: The Important Variables Used In Predicting Share Performancementioning
confidence: 99%