A portfolio selection strategy using Genetic Relation Algorithm

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@InProceedings{Chen:2010:cec,

• author = "Yan Chen and Shingo Mabu and Kotaro Hirasawa",
• title = "A portfolio selection strategy using Genetic Relation Algorithm",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• abstract = "This paper proposes a new strategy #x03B2;-GRA for portfolio selection in which the return and risk are considered as measures of strength in Genetic Relation Algorithm (GRA). Since the portfolio beta #x03B2; efficiently measures the volatility relative to the benchmark index or the capital market, #x03B2; is usually employed for portfolio evaluation or prediction, but scarcely for portfolio construction process. The main objective of this paper is to propose an integrated portfolio selection strategy, which selects stocks based on #x03B2; using GRA. GRA is a new evolutionary algorithm designed to solve the optimisation problem due to its special structure. We illustrate the proposed strategy by experiments and compare the results with those derived from the traditional models.",
• DOI = "doi:10.1109/CEC.2010.5586430",
• notes = "WCCI 2010. Also known as \cite{5586430}",

}

Genetic Programming entries for Yan Chen Shingo Mabu Kotaro Hirasawa

Citations