DocumentCode :
2863149
Title :
A comparison of adaptive and static agents in equity market trading
Author :
Schoreels, Cyril ; Garibaldi, Jonathan M.
Author_Institution :
Sch. of Comput. Sci. & IT, Nottingham Univ., UK
fYear :
2005
fDate :
19-22 Sept. 2005
Firstpage :
393
Lastpage :
399
Abstract :
This paper aims to determine whether an adaptive agent population performs better than a static population. A static population is evolved on historical equity market data from the DAX-30, split into training and testing segments. An adaptive population is retrained continuously over the most recent available data that becomes available with each passing day. For comparison their performance over the out-of-sample test data is measured. Results obtained indicate a clear superiority of the adaptive over the static approach.
Keywords :
electronic trading; software agents; adaptive agent population; equity market trading; static agent population; Computer science; Financial management; Genetic algorithms; Genetic programming; Humans; Neural networks; Portfolios; Power system modeling; Predictive models; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
Print_ISBN :
0-7695-2416-8
Type :
conf
DOI :
10.1109/IAT.2005.7
Filename :
1565571
Link To Document :
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