Sector Rotation by Factor Model and Fundamental Analysis

Runjia Yang, Beining Shi
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Abstract

This study presents an analytical approach to sector rotation, leveraging both factor models and fundamental metrics. We initiate with a systematic classification of sectors, followed by an empirical investigation into their returns. Through factor analysis, the paper underscores the significance of momentum and short-term reversion in dictating sectoral shifts. A subsequent in-depth fundamental analysis evaluates metrics such as PE, PB, EV-to-EBITDA, Dividend Yield, among others. Our primary contribution lies in developing a predictive framework based on these fundamental indicators. The constructed models, post rigorous training, exhibit noteworthy predictive capabilities. The findings furnish a nuanced understanding of sector rotation strategies, with implications for asset management and portfolio construction in the financial domain.
通过因子模型和基本面分析进行行业轮换
本研究利用因子模型和基本指标,提出了一种行业轮动的分析方法。我们首先对行业进行了系统分类,然后对其回报率进行了实证调查。通过因子分析,本文强调了动量和短期回归在决定板块轮动中的重要性。随后的深入基本面分析评估了 PE、PB、EV-to-EBITDA、股息率等指标。我们的主要贡献在于基于这些基本指标开发了一个预测框架。所构建的模型经过严格训练后,表现出了值得关注的预测能力。这些发现为行业轮动策略提供了细致入微的理解,并对金融领域的资产管理和投资组合构建产生了影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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