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Using a weightless neural network to forecast stock prices: A case study of Nigerian stock exchange

Alhassan, J. K. and Misra, Sanjay (2011) Using a weightless neural network to forecast stock prices: A case study of Nigerian stock exchange. Scientific Research and Essays, 6 (14). pp. 2934-2940.

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Abstract

This research work, proposes forecasting stock prices in the stock market industry in Nigeria using a Weightless Neural Network (WNN). A neural network application used to demonstrate the application of the WNN in the forecasting of stock prices in the market is designed and implemented in Visual Foxpro 6.0. The proposed network is tested with stock data obtained from the Nigeria Stock Exchange. This system is compared with Single Exponential Smoothing (SES) model. The WNN error value is found to be 0.39 while that of SES is 9.78, based on these values, forecasting with the WNN is observed to be more accurate and closer to the real data than those using the SES model.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Adewole Adewumi
Date Deposited: 03 Nov 2012 14:54
Last Modified: 03 Nov 2012 14:54
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/791

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