Prediction of Stock Market in Nigeria Using Artificial Neural Network
Автор: Peter Adebayo Idowu, Chris Osakwe, Aderonke Anthonia Kayode, Emmanuel Rotimi Adagunodo
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 11 vol.4, 2012 года.
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Prediction of Nigerian stock market is almost not done by any researcher and is an important factor which can be used to determine the viability of Nigerian stock market. In this paper, the prediction models were developed using Artificial Neural Network. The result of the prediction of Nigerian Stock Exchange (NSE) market index value of selected banks using Artificial Neural Network was presented. The multi-layer feed forward neural network was used, so that each output unit is told what its desired response to input signals ought to be. This work has confirmed the fact that artificial neural network can be used to predict future stock prices. The data collection period is from 2003 to 2006.
Artificial Neural Network, Prediction, Nigerian Stock Exchange, Input Signal
Короткий адрес: https://sciup.org/15010333
IDR: 15010333
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