Contribution to a book

DZNE-2025-01004

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Evolutionary Computation in Finance

Sammut, C. (Editor) ; Webb, G. I. (Editor) ; Martínez-Jaramillo, S. ; Centeno, T. P.DZNE* ; Alexandrova-Kabadjova, B. ; García-Almanza, A.

2017
Springer US Boston, MA

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Please use a persistent id in citations: doi:10.1007/978-1-4899-7687-1_88

Abstract: Evolutionary computation (EC) in finance is an area of research and knowledge which involves the use of EC techniques in order to approach topics in finance. This area of knowledge is similar to EC in economics; in fact, the areas frequently overlap in some of the topics they approach. The application of EC in finance pursues two main purposes: first, to overcome the limitations of some theoretical models, also departing from some of the assumptions made in those models, and, second, to innovate in this extremely competitive area of research, given the powerful economic incentives to do so.EC techniques have been widely used in a variety of topics in finance. Among the most relevant we find: financial forecasting, algorithmic and automatic trading, option pricing, portfolio optimization, artificial financial markets, credit rating, credit scoring, bankruptcy prediction, and filtering techniques.

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Contributing Institute(s):

1. Epigenetics and Systems Medicine in Neurodegenerative Diseases (AG Fischer)

Research Program(s):

1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

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