Fama-French五因素模型的新视角

Hsuan-Yu Liu, Cindy S.H. Wang
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引用次数: 2

摘要

本章重新审视Fama和French(2015)提出的Fama - French (FF)五因素资产定价模型,因为该模型未能捕捉到小盘股较低的平均回报率,其表现不能完全满足这些考虑因素的原始定义。从计量经济学分析的角度来看,我们认为五因子模型中的虚假效应可能会导致业绩不佳,从而误导统计推断,产生有偏差的实证结果。因此,我们采用Wang和Hafner(2018)的CO-AR估计来证明FF五因素模型的有效性。实证结果表明,通过CO-AR估计,五因素模型确实正确地捕捉了小股较低的平均回报率,并说明了市场效率的可持续性,这与Fama和French(2015)的研究结果形成对比。然而,我们对开创性的五因素模型提出了一个新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Perspective on the Fama–French Five-factor Model
This chapter re-examines the Fama–French (FF) five-factor asset pricing model proposed by Fama and French (2015), since this model has a failure to capture the lower average returns on small stocks and its performance could not fully satisfy the original definitions of those considered factors. From the viewpoint of the econometrics analysis, we consider the inferior performance could be potentially caused by the spurious effect in the five-factor model, which could mislead the statistical inference and yield biased empirical results. We thus employ the CO-AR estimation by Wang and Hafner (2018) to prove the usefulness of the FF five-factor model. Empirical results demonstrate with the CO-AR estimation, the five-factor model indeed properly captures the lower average returns on small stocks and illustrate the sustainability of efficiency of the market, which is in contrast to the findings of Fama and French (2015). However, we propose a new perspective on the seminal five-factor model.
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