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  5. Applying Genetic Regulatory Networks to Index Trading
 
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Applying Genetic Regulatory Networks to Index Trading

Author(s)
Nicolau, Miguel  
O'Neill, Michael  
Brabazon, Anthony  
Uri
http://hdl.handle.net/10197/8148
Date Issued
2012-09-05
Date Available
2016-11-25T10:07:26Z
Abstract
This paper explores the computational power of genetic regulatory network models, and the practicalities of applying these to real-world problems. The specific domain of financial trading is tackled; this is a problem where time-dependent decisions are critical, and as such benefits from the differential gene expression that these networks provide. The results obtained are on par with the best found in the literature, and highlight the applicability of these models to this type of problem.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
Springer 2012
Subjects

Evolutionary computat...

Natural computing

Genetic regulatory ne...

Financial prediction

Index trading

DOI
10.1007/978-3-642-32964-7_43
Language
English
Status of Item
Peer reviewed
Journal
Coelle Coello, C.A., Cutello, V., Deb, K., Forest, S., Giuseppe, N. and Pavone, M. (eds.). Proceedings (Part 2): Parallel Problem Solving from Nature - PPSN XII (Lecture Notes in Computer science Volume 3492)
Conference Details
12th International Conference on Parallel Problem Solving from Nature, Taormina, Italy, 1-5 September 2012
ISBN
9783642329630
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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financial.pdf

Size

216.69 KB

Format

Adobe PDF

Checksum (MD5)

f025d688c3ffbba46745c7295c5af1f2

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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