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Subject Item
n2:75949
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n6:EPrint n6:ArticleEPrint bibo:AcademicArticle bibo:Article
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dcterms:title
Applications of Genetic Programming to Finance and Economics: Past, Present, Future
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dcterms:date
2020
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n8:ext-b96dfd0840ccef2e4d2f883d1f68aee9 n8:ext-4b2a825a6439afdf2350a0790f77de8e n8:ext-m.kampouridis@kent.ac.uk
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n5:ext-1c5ddec173ca8cdfba8b274309638579
bibo: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.
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bibo:issue
1-2
bibo:volume
21