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Evolutionary computation and trade execution

Author(s)
Cui, Wei  
Brabazon, Anthony  
O'Neill, Michael  
Uri
http://hdl.handle.net/10197/2160
Date Issued
2010
Date Available
2010-07-14T13:43:16Z
Abstract
Although there is a plentiful literature on the use of evolutionary methodologies for the trading of Financial assets, little attention has been paid to the issue of efficient trade execution. Trade execution is concerned with the actual mechanics of buying or selling the desired amount of a financial instrument of interest. This chapter introduces the concept of trade execution and outlines the limited prior
work applying evolutionary computing methods for this task. Furthermore, we build
an Agent-based Artificial Stock Market and apply a Genetic Algorithm to evolve an
efficient trade execution strategy. Finally, we suggest a number of opportunities for
future research.
Sponsorship
Science Foundation Ireland
Type of Material
Book Chapter
Publisher
Springer
Copyright (Published Version)
2010 Springer Verlag
Subjects

Finance

Natural computing

Evolutionary computat...

Trade execution

Subject – LCSH
Financial instruments
Natural computation
Evolutionary computation
DOI
10.1007/978-3-642-13950-5_4
Web versions
http://www.springerlink.com/content/700127pv532k74q5/
Language
English
Status of Item
Peer reviewed
Journal
Brabazon, A., O'Neill, M. & Maringer, D. G. (eds.). Natural computing in computational finances : volume 3
ISBN
978-3-642-13949-9
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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Evolutionary Computation and Trade Execution.pdf

Size

424.82 KB

Format

Adobe PDF

Checksum (MD5)

8fadba6a4a52406e0191c37a39d65d77

Owning collection
Business Research Collection
Mapped collections
CASL Research Collection•
Computer Science Research Collection•
FMC² Research Collection

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