A Firefly Algorithm for Portfolio Optimization

IF 0.3 Q4 MATHEMATICS
Indana Lazulfa
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引用次数: 1

Abstract

Portfolio optimization is the process of allocating capital among a universe of assets to achieve better risk – return trade-off. Portfolio optimization is a solution for investors to get the return as large as possible and make the risk as small as possible. Due to the dynamic nature of financial markets, the portfolio needs to be rebalanced to retain the desired risk-return characteristics. This study proposed multi objective portfolio optimization model with risk, return as the objective function. For multi objective portfolio optimization problems will be used mean-variance model as risk measures. All these portfolio optimization problems will be solved by Firefly Algorithm (FA).
投资组合优化的萤火虫算法
投资组合优化是在一系列资产中分配资本以实现更好的风险回报权衡的过程。投资组合优化是投资者获得尽可能大的回报并使风险尽可能小的解决方案。由于金融市场的动态性质,需要对投资组合进行再平衡,以保持所需的风险回报特征。本文提出了以风险、收益为目标函数的多目标投资组合优化模型。对于多目标投资组合优化问题,将使用均值-方差模型作为风险度量。所有这些投资组合优化问题都将由萤火虫算法(FA)来解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
20
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