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Evolutionary computation and trade execution
Author(s)
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.
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
Subject – LCSH
Financial instruments
Natural computation
Evolutionary computation
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
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Evolutionary Computation and Trade Execution.pdf
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424.82 KB
Format
Adobe PDF
Checksum (MD5)
8fadba6a4a52406e0191c37a39d65d77
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