Robust portfolios that do not tilt factor exposure

被引:27
作者
Kim, Woo Chang [1 ]
Kim, Min Jeong [1 ]
Kim, Jang Ho [1 ]
Fabozzi, Frank J. [2 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Taejon 305701, South Korea
[2] EDHEC Business Sch, Nice, France
基金
新加坡国家研究基金会;
关键词
Investment analysis; Robust portfolio model; Robustness analysis; Fundamental factors; CONVEX-OPTIMIZATION; ASSET ALLOCATION; SELECTION; RISK; RETURNS;
D O I
10.1016/j.ejor.2013.03.029
中图分类号
C93 [管理学];
学科分类号
120117 [社会管理工程];
摘要
Robust portfolios reduce the uncertainty in portfolio performance. In particular, the worst-case optimization approach is based on the Markowitz model and form portfolios that are more robust compared to mean-variance portfolios. However, since the robust formulation finds a different portfolio from the optimal mean-variance portfolio, the two portfolios may have dissimilar levels of factor exposure. In most cases, investors need a portfolio that is not only robust but also has a desired level of dependency on factor movement for managing the total portfolio risk. Therefore, we introduce new robust formulations that allow investors to control the factor exposure of portfolios. Empirical analysis shows that the robust portfolios from the proposed formulations are more robust than the classical mean-variance approach with comparable levels of exposure on fundamental factors. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:411 / 421
页数:11
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