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A study on investment decision making model: genetic algorithms approach

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3 Author(s)
Wen-Shiu Lin ; Dept. of Inf. Manage., Nat. Central Univ., Chung-Li, Taiwan ; Jiah-Shing Chen ; Ping-Chen Lin

Genetic algorithms (GAs) are becoming a paramount research method because of their robustness due to mimicking the natural evolution mechanism. Genetic algorithms can easily learn to adapt to complex environments. The paper studies the application of genetic algorithms on a user-oriented “investment decision-making model”. The portfolio selection considers users' preferences in addition to the common return and risk factors. Preliminary results show that the portfolios generated by GAs outperform some of the better mutual funds and the index

Published in:
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on  (Volume:1 )

Date of Conference: 1999

Page(s):
1049 - 1054 vol.1
Meeting Date :
12 Oct 1999-15 Oct 1999
ISSN :
1062-922X
Print ISBN:
0-7803-5731-0
INSPEC Accession Number:
6505912
Conference Location :
Tokyo
Digital Object Identifier :
10.1109/ICSMC.1999.814238
Product Type:
Conference Publications

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