A revised comparison between FF five-factor model and three-factor model,based on China's A-share market
Zhijing Zhang, Yue Yu, Qinghua Ma, Haixiang Yao

TL;DR
This paper empirically compares the FF five-factor model and the three-factor model using China's stock data from 2005 to 2020, demonstrating the five-factor model's superior explanatory power for excess returns.
Contribution
It provides a comprehensive empirical analysis of the five-factor model's effectiveness in China's stock market, including orthogonalization of factors and detailed explanations of their significance.
Findings
HML and CMA factors remain significant in many portfolios
The five-factor model better explains excess returns than the three-factor model
Analysis of China's market policies and investor behavior supports the model's relevance
Abstract
In allusion to some contradicting results in existing research, this paper selects China's latest stock data from 2005 to 2020 for empirical analysis. By choosing this periods' data, we avoid the periods of China's significant stock market reforms to reduce the impact of the government's policy on the factor effect. In this paper, the redundant factors (HML, CMA) are orthogonalized, and the regression analysis of 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. In the concrete analysis, this paper uses the methods of the five-factor 25-group portfolio returns…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Stock Market Forecasting Methods
