法玛与法国五因素模型与三因素模型的修正比较——基于中国A股市场

Zhijing Zhang, Yue Yu, Qinghua Ma, H. Yao
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摘要

针对现有研究中一些矛盾的结果,本文选取2005 - 2020年中国最新股票数据进行实证分析。本文将冗余因子(HML、CMA)正交化,利用这两个正交化因子对Size-B/M和Size-Inv的5*5投资组合进行回归分析。发现HML和CMA在很多组合中仍然显著,说明它们具有较强的解释能力,这也与GRS检验的结果一致。这表明五因素模型对超额收益率有较好的解释能力。然后从市净率、换手率和相关系数三个方面分析了HML、CMA和RMW具有较强解释能力的可能原因。本文还对研究结果进行了解释,并分析了近年来中国股市的政策变化和投资者的投资风格。
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A Revised Comparison between Fama and French Five-Factor Model and Three-Factor Model——Based on China's A-Share Market
In allusion to some contradicting results in existing research, this paper selects China's latest stock data from 2005 to 2020 for empirical analysis. In this paper, the redundant factors (HML, CMA) are orthogonalized, and the regression analysis of the 5*5 portfolio of Size-B/M and Size-Inv is carried out with these two orthogonalized factors. It found that the HML and the CMA are still significant in many portfolios, indicating that they have a strong explanatory ability, which is also consistent with the results of GRS test. All these show that the five-factor model has a better ability to explain the excess return rate. Then, we analyze the possible reasons for the strong explanatory ability of the HML, CMA, and RMW from the aspects of price-to-book ratio, turnover rate, and correlation coefficient. We also explain the results and analyze China's stock market policy changes and investors' investment style in recent years.
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