你的Smart Beta投资组合里有什么?基本面和宏观经济分析

Q4 Economics, Econometrics and Finance
Daniel Ung, P. Luk
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引用次数: 10

摘要

随着智能贝塔变得越来越受欢迎,一系列的策略被设计出来,以提供在市场上获得广泛回报的风险。许多策略都声称提供了获得相同因素的途径,人们可能有理由认为它们是相似的。然而,它们的构建方式却千差万别。指数构建中看似微小的差异可能导致投资组合具有不同的风险和回报驱动因素,以及对因素和行业偏见的不平等暴露。它们同样可以对投资组合所处的宏观经济环境产生影响,这在许多因素混合的多因素投资组合中尤为重要。本文回顾了一些典型的策略,这些策略试图跟踪美国市场的共同因素(即波动性、动量、质量、增长、价值、股息收益率和规模),以便从基本面和宏观经济角度更好地理解这些策略的特征。然后将同样的分析扩展到多因素投资组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Is in Your Smart Beta Portfolio? A Fundamental and Macroeconomic Analysis
With smart beta becoming increasingly popular, a swath of strategies have been designed to provide access to a wide array of return-enhancing risk in the marketplace. Many strategies claim to provide access to the same factors, and one might reasonably expect that they would be similar. Yet the ways they are constructed can vary widely. Seemingly small distinctions in index construction can lead to portfolios that have differential drivers of risk and return and unequal exposures to factor and sector biases. They can likewise have an effect on the macroeconomic environments in which the portfolios perform, which is particularly important in multifactor portfolios where a number of factors are blended. This article reviews some typical strategies that seek to track common factors (i.e., volatility, momentum, quality, growth, value, dividend yield, and size) in the U.S. market in order to better understand the characteristics of these strategies, from both a fundamental and a macroeconomic perspective. The same analysis is then extended to a multifactor portfolio.
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来源期刊
Journal of Index Investing
Journal of Index Investing Economics, Econometrics and Finance-Finance
CiteScore
0.70
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