因子投资组合的特征,2010年3月

J. Menchero
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引用次数: 3

摘要

深入理解因子模型的一个关键在于因子模仿投资组合的概念,其收益完全复制了因子的收益。简单因子组合是孤立地考虑各个因素而得到的,而纯因子组合是综合考虑所有因素而得到的。在本文中,我们推导了世界因素以及国家、行业和风格的简单因素投资组合的持有量。我们还讨论了纯因子投资组合的特征,以及单纯因子投资组合与纯因子投资组合之间的差异是如何由于因子之间的共线性而产生的。我们在因子模型中引入了几种直观的共线性度量,并在全球股权模型的背景下给出了它们的经验分布。最后,我们描述了如何通过因子旋转来减少共线性,并讨论了这些因子的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Factor Portfolios, March 2010
A key to deeper understanding of factor models lies in the concept of factor-mimicking portfolios, whose returns exactly replicate the payoffs to the factors. Simple factor portfolios are obtained by considering each factor in isolation, whereas pure factor portfolios are constructed by treating all factors jointly. In this paper, we derive the holdings of simple factors portfolios for the World factor, as well as for countries, industries, and styles. We also discuss the characteristics of pure factor portfolios, and how differences between simple and pure factor portfolios arise due to collinearity between factors. We introduce several intuitive measures of collinearity in factor models, and present their empirical distributions in the context of a global equity model. Finally, we describe how collinearity can be reduced through factor rotation, and discuss the interpretation of such factors.
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