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Soft Computing Approaches to Stock Forecasting: A Survey

Ifebanjo, T. M. and Ogunleye, O. M. and Abiodun, T. N. and Adebiyi, A. A. (2017) Soft Computing Approaches to Stock Forecasting: A Survey. Global Journal of Engineering Science and Research Management, 4 (5). pp. 107-131. ISSN 2349-4506

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Abstract

Soft computing techniques has been effectively applied in business, engineering, medical domain to solve problems in the past decade. However, this paper focuses on censoring the application of soft computing techniques for stock market prediction in the last decade (2010 - todate). Over a hundred published articles on stock price prediction were reviewed. The survey is done by grouping these published articles into: the stock market surveyed, input variable choices, summary of modelling technique applied, comparative studies, and summary of performance measures. This survey aptly shows that soft computing techniques are widely used and it has demonstrated widely acceptability to accurately use for predicting stock price and stock index behavior worldwide.

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: 10 Jul 2017 13:02
Last Modified: 10 Jul 2017 13:02
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/8554

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