Stock Price Prediction using Fuzzy-neural Approach

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 » Dr. Adebiyi, Ayodele Ariyo is a Associate Professor 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 interests includes, application of... view full profile
 
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