衡量行业周期性:基于因素的方法

Alessio de Longis, Daniel Zanin, Dianne Ellis
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引用次数: 0

摘要

股票行业通常被归为静态经济分类,未能考虑其在商业周期中动态和随时间变化的基本特征。利用对因素周期性的研究成果,作者提出了一种简单实用的方法,通过估计其对周期性多因素投资组合的敏感性,将行业分类为周期性或防御性。他们的研究结果显示,尽管一些行业表现出持续的周期性或防御性特征,但大多数行业都经历了值得注意的变化。使用预测商业周期制度框架,他们记录了这种基于动态因素的行业分类方法的有效性,并提供了行业轮换策略的例子,这些策略在历史上产生了有吸引力的超额回报,优于静态替代方案。他们的结果与因素投资范式一致,认识到因素是投资组合风险和绩效的重要驱动因素,传统资产类别可以被视为预期因素和宏观风险的实现工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Sector Cyclicality: A Factor-Based Approach
Equity sectors are often ascribed static economic classifications that fail to consider their dynamic and time-varying fundamental characteristics across business cycles. Leveraging research findings on factor cyclicality, the authors propose a simple and practical methodology to categorize sectors as cyclical or defensive by estimating their sensitivity to a cyclical multifactor portfolio. Their results reveal that although some sectors have exhibited persistent cyclical or defensive features, most sectors have experienced noteworthy changes over time. Using a predictive business cycle regime framework, they document the effectiveness of this dynamic factor-based sector classification approach and provide examples of sector rotation strategies that have historically generated attractive excess returns, outperforming static alternatives. Their results are consistent with a factor investing paradigm, recognizing that factors are important drivers of portfolio risk and performance, and traditional asset classes can be seen as implementation vehicles of intended factor and macro exposures.
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