Title of article :
Constructing investment strategy portfolios by combination genetic algorithms
Author/Authors :
Chen، نويسنده , , Jiah-Shing and Hou، نويسنده , , Jiali and Wu، نويسنده , , Shih-Min and Chang-Chien، نويسنده , , Ya-Wen، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
5
From page :
3824
To page :
3828
Abstract :
The classical portfolio problem is a problem of distributing capital to a set of securities. By generalizing the set of securities to a set of investment strategies (or security-rule pairs), this study proposes an investment strategy portfolio problem, which becomes a problem of distributing capital to a set of investment strategies. Since the investment strategy portfolio problem can be formulated as a combination optimization problem, a new combination genetic algorithm is proposed for solving the new investment strategy portfolio problem. Experimental results show that the idea of investment strategy portfolios is feasible and the combination genetic algorithm is effective on the investment strategy portfolio problem.
Keywords :
Genetic algorithms (GA) , Portfolio , Investment strategy portfolio , capital allocation , Combination genetic algorithm
Journal title :
Expert Systems with Applications
Serial Year :
2009
Journal title :
Expert Systems with Applications
Record number :
2345607
Link To Document :
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