文件夹
投资组合优化
数学
度量(数据仓库)
风险度量
预期短缺
风险价值
区间(图论)
半定规划
标准差
计量经济学
统计
数学优化
计算机科学
风险管理
经济
金融经济学
财务
数据挖掘
组合数学
作者
Ruchika Sehgal,Aparna Mehra
出处
期刊:Journal of Industrial and Management Optimization
[American Institute of Mathematical Sciences]
日期:2021-01-01
卷期号:17 (4): 1613-1613
被引量:2
摘要
The paper introduces the worst-case portfolio optimization models within the robust optimization framework for maximizing return through either the mean or median metrics. The risk in the portfolio is quantified by Gini mean difference. We put forward the worst-case models under the mixed and interval+polyhedral uncertainty sets. The proposed models turn out to be linear and mixed integer linear programs under the mixed uncertainty set, and semidefinite program under interval+polyhedral uncertainty set. The performance comparison of the proposed models on the listed stocks of Euro Stoxx 50, Dow Jones Global Titans 50, S & P Asia 50, consistently exhibit advantage over their conventional non-robust counterpart models on various risk parameters including the standard deviation, worst return, value at risk, conditional value at risk and maximum drawdown of the portfolio.
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