Research on the Portfolio Optimization Model under Quantitative Constraint Based on Genetic Algorithm

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DOI: 10.4236/jmf.2016.64037    2,891 Downloads   4,841 Views  Citations
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ABSTRACT

This paper is based on covariance and expected return, building portfolio risk optimization model. Using Genetic Algorithm and Quadratic Programming, three securities portfolio Optimization model is resolved, and we find that Genetic Algorithm having priority for Restraint Conditions is not a linear model.

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Zhu, S. (2016) Research on the Portfolio Optimization Model under Quantitative Constraint Based on Genetic Algorithm. Journal of Mathematical Finance, 6, 465-470. doi: 10.4236/jmf.2016.64037.

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