重新审视优质投资

Frédéric Lepetit, Amina Cherief, Yannick Ly, Takaya Sekine
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引用次数: 0

摘要

在要素投资领域,质量无疑是共识最弱的权益因素。本研究探讨了定义它的最佳方式。为了捕捉学术界所描述的质量因素的多方面现实,我们通过定义四个独立的支柱来解决质量因素:盈利能力、盈利质量、安全和投资。为了更好地满足机构投资者的需求,我们通过关注过去18年和全球发达市场的流动性股票(大盘股和中盘股)来分析由此产生的因素。在多空框架中,我们的质量因子提供了一个统计上显著的alpha,不能用传统股票因素(市场、价值、规模和动量)的负荷来解释。除欧元区地区和安全维度外,大多数地区和维度对该alpha值的贡献为正。在只做多的框架中,我们的质量因子在整个分析期间每年比基准高出2.8%,信息比为0.81。此外,自2008年全球金融危机(GFC)以来,这种表现一直非常稳定。这四个维度彼此弱相关,因此是互补的。我们表明,在市场动荡时期(全球金融危机、Covid-19大流行),安全性尤为重要,因此,这一维度本身就是质量因素的一部分。在欧元区方面,行业中性的投资组合结构似乎更合适。我们还引入了一种新的投资组合构建方法,通过实施基于K-means算法的聚类方法,根据与基本面和市场特征相关的特征将公司组合在一起。这种方法可以捕捉基本面和其他股票特征之间的动态变化。这个完全可实现的过程产生更好的质量因素性能,而不影响相关的风险度量或投资组合的质量暴露,正如在不受约束的质量因素上测量的那样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revisiting Quality Investing
In the field of factor investing, quality is undoubtedly the equity factor with the weakest consensus. This research investigates the best way to define it. In order to capture the multi-faceted reality of the factor depicted in academia, we address the quality factor through a multidimensional process by defining four self-reliant pillars: profitability, earnings quality, safety and investment. To better fit institutional investor's' needs, we analyze the resulting factor by focusing on the last eighteen years and on a global developed markets universe of liquid stocks (large- and mid-caps).

In a long-short framework, our quality factor delivers a statistically significant alpha that cannot be explained by loadings on conventional equity factors (market, value, size and momentum). Most regions and dimensions display positive contribution to this alpha, with the noticeable exceptions of the Eurozone region and the safety dimension. In a long-only framework, our quality factor outperforms its benchmark by 2.8% per annum over the entire analysis period, with an information ratio of 0.81. Furthermore, the outperformance has been very consistent since the 2008 Global Financial Crisis (GFC). The four dimensions are weakly correlated with each other and are therefore complementary. We show that safety is of particular importance during periods of market turmoil (GFC, Covid-19 pandemic) and that the dimension is therefore part of the quality factor in its own right. On the Eurozone side, a sector-neutral portfolio construction seems to be more suited.

We also introduce a new portfolio construction methodology by implementing a clustering approach based on the K-means algorithm to group together companies based on features that are related to both fundamentals and market characteristics. This approach allows to capture dynamic variations between fundamentals and other stock features. This fully implementable process results in better quality factor performance without impacting the associated risk measures or the portfolio’s quality exposure, as measured on the unconstrained quality factor.
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