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Stock Price Prediction using Fuzzy-neural Approach
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Stock Price Prediction using Fuzzy-neural Approach

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In this paper, we propose a fuzzy-neural model for stock prediction based on technical and fundamental indicators. Input variables are extracted from these market indicators which are fed into fuzzy-neural network model. The empirical results showed significant improvement over buy-and-hold strategy and also artificial neural network model.
 
Published at Journal of Emerging Trends in Engineering and Applied Sciences”, Vol.1, No.1. pp. 9-13.
Published in 2010
 
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Adebiyi, Ayodele A., Ayo, Charles K. and Otokiti Sunday O. (2010)
Adebiyi Ayodele » Professor Adebiyi, Ayodele Ariyo is a professor of Management Information System in the Department of Computer and Information Sciences in Covenant University. He holds a Bachelor degree in Computer Science and MBA degree from University of Ilorin, Ilorin Nigeria. He had his Master degree and Ph.D degree in Management Information System from Covenant University, Ota, Nigeria. His research... view full profile
Adebiyi Ayodele
 
Other publications by this author (view profile)
 
 
Development of Electronic Government Procurement (e-GP) System for Nigeria Public Sector
 
Stock Price Prediction using Neural Network with Hybridized Market Indicators
 
An Empirical Investigation of the Level of Adoption of Mobile Payment in Nigeria
 
Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction
 
Stock Price Prediction Using the ARIMA Model
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