Work place: Dept. of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
E-mail: ned4christ@yahoo.com
Website:
Research Interests: Computational Science and Engineering, Software Engineering, Database Management System, Data Structures and Algorithms
Biography
Chris Osakwe: Male, Nigeria, His research interests include Software Engineering, Database Design, and Simulation.
By Peter Adebayo Idowu Chris Osakwe Aderonke Anthonia Kayode Emmanuel Rotimi Adagunodo
DOI: https://doi.org/10.5815/ijisa.2012.11.08, Pub. Date: 8 Oct. 2012
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.
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