Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/54525
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Type: Book chapter
Title: An application of genetic programming to forecasting foreign exchanges rates
Author: Buckley, M.
Michalewicz, Z.
Zurbrugg, R.
Citation: Nature-inspired informatics for intelligent applications and knowledge discovery: implications in business, science, and engineering, 2009 / Raymond Chiong (ed./s), pp.26-48
Publisher: IGI Global
Publisher Place: United States
Issue Date: 2009
ISBN: 9781605667058
Statement of
Responsibility: 
Muneer Buckley and Zbigniew Michalewicz and Ralf Zurbruegg
Abstract: <jats:p>There is a great need for accurate predictions of foreign exchange rates. Many industries participate in foreign exchange scenarios with little idea where the exchange rate is moving, and what the optimum decision to make at any given time is. Although current economic models do exist for this purpose, improvements could be made in both their flexibility and adaptability. This provides much room for models that do not suffer from such constraints. This chapter proposes the use of a genetic program (GP) to predict future foreign exchange rates. The GP is an extension of the DyFor GP tailored for forecasting in dynamic environments. The GP is tested on the Australian / US (AUD/USD) exchange rate and compared against a basic economic model. The results show that the system has potential in forecasting long term values, and may do so better than established models. Further improvements are also suggested.</jats:p>
Rights: Chapter: Copyright © 2010, IGI Global; Book (print): Copyright © 2009 by IGI Global
RMID: 0020097566
DOI: 10.4018/978-1-60566-705-8.ch002
Published version: https://doi.org/10.4018/978-1-60566-705-8
Appears in Collections:Computer Science publications

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