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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #75949 Applications of Genetic Programming to Finance and Economics: Past, Present, Future
sameAs	Applications of Genetic Programming to Finance and Economics: Past, Present, Future
http://eprints.org/ontology/hasAccepted	Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
http://eprints.org/ontology/hasDocument	Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF) Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other) Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other) Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other) Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other) Applications of Genetic Programming to Finance and Economics: Past, Present, Future (Other)
dc:hasVersion	Applications of Genetic Programming to Finance and Economics: Past, Present, Future (PDF)
Title	Applications of Genetic Programming to Finance and Economics: Past, Present, Future
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
Date	2020
Creator	Anthony Brabazon Michael O’Neill Michael Kampouridis
status	peer reviewed published
Publisher	Springer
abstract	While the origins of Genetic Programming (GP) stretch back over fifty years, the field of GP was invigorated by John Koza’s popularisation of the methodology in the 1990s. A particular feature of the GP literature since then has been a strong interest in the application of GP to real-world problem domains. One application domain which has attracted significant attention is that of finance and economics, with several hundred papers from this subfield being listed in the Genetic Programming Bibliography. In this article we outline why finance and economics has been a popular application area for GP and briefly indicate the wide span of this work. However, despite this research effort there is relatively scant evidence of the usage of GP by the mainstream finance community in academia or industry. We speculate why this may be the case, describe what is needed to make this research more relevant from a finance perspective, and suggest some future directions for the application of GP in finance and economics.
Is Part Of	Genetic Programming and Evolvable Machines https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/75949#authors
issue	1-2
volume	21
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #75949 Applications of Genetic Programming to Finance and Economics: Past, Present, Future

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