Sector exposures in factor portfolios: Why neutralise when you can optimise?

被引:0
|
作者
Paskaramoorthy, Andrew [1 ]
Flint, Emlyn [2 ,3 ]
机构
[1] Univ Cape Town, Dept Stat Sci, Cape Town, South Africa
[2] Univ Cape Town, Sch Actuarial Sci, Cape Town, South Africa
[3] Peresec, Cape Town, South Africa
基金
新加坡国家研究基金会;
关键词
sector risk; sector exposure; optimisation; factor investing; portfolio construction; RISK; MATRIX;
D O I
10.1080/10293523.2023.2253624
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Managing sector risk within factor portfolios has traditionally been viewed as a binary decision problem: to neutralise sector risk or not. Challenging this view, we introduce a novel conceptual framework that allows a continuum of choices, thus reframing the problem as one of optimising sector risk. Our approach begins by decomposing a factor portfolio into sector-neutral and sector-specific components, then recombining them using a mean-variance framework to create a sector-optimised factor portfolio. By dynamically optimising over time, the framework can exploit time- and state-variation in the component portfolios, resulting in substantial performance improvements over both standard and sector-neutral factor portfolios. Unlike the traditional formulation, where the merits of sector-neutralisation have been shown to be factor-specific, empirical analysis indicates that the benefits of our optimisation framework are not confined to any specific factors or methodologies.
引用
收藏
页码:259 / 280
页数:22
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