Peter Adebayo Idowu; Chris Osakwe; Aderonke Anthonia Kayode; Emmanuel Rotimi Adagunodo

Prediction of Stock Market in Nigeria Using Artificial Neural Network

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Author(s)

Peter Adebayo Idowu ^1,* Chris Osakwe ¹ Aderonke Anthonia Kayode ¹ Emmanuel Rotimi Adagunodo ¹

1. Dept. of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.11.08

Received: 27 Feb. 2012 / Revised: 12 Jun. 2012 / Accepted: 23 Aug. 2012 / Published: 8 Oct. 2012

Index Terms

Artificial Neural Network, Prediction, Nigerian Stock Exchange, Input Signal

Abstract

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.

Cite This Paper

Peter Adebayo Idowu, Chris Osakwe, Aderonke Anthonia Kayode, Emmanuel Rotimi Adagunodo, "Prediction of Stock Market in Nigeria Using Artificial Neural Network", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.11, pp.68-74, 2012. DOI:10.5815/ijisa.2012.11.08

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International Journal of Intelligent Systems and Applications (IJISA)