中国a股的因子模型

M. Hanauer, M. Jansen, L. Swinkels, Weili Zhou
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摘要

我们比较了美国股票横截面的流行资产定价模型在中国a股市场上的定价能力,这是一个巨大的、流动性的,但主要是细分的股票市场。在针对美国股票市场开发的因子模型中,q因子模型表现较好,但优于改进的Fama-French六因子模型和适合中国a股市场的四因子资产定价模型。一种数据驱动的方法来检测首选资产定价模型的结果是相同的四个因素,外加三个额外的因素。然而,这三个额外的因素并不能减少一组测试资产的定价错误。当考虑交易成本时,资产定价模型的排名发生了变化。直接模型和数据驱动模型比较方法的首选模型现在由三因素模型组成,包括市场、规模和基于收益的价值因素。
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Factor models for Chinese A-shares
We compare the pricing ability of popular asset pricing models for the cross-section of U.S. equities on a large, liquid, but mostly segmented equity market of Chinese A-shares. The q-factor model performs well among factor models developed for the U.S. equity market, but is outperformed by a modified Fama-French six-factor model and by a four-factor asset pricing model adapted to the Chinese A-shares market. A data-driven method to detect the preferred asset pricing model results in the same four factors, plus three additional ones. However, these three additional factors do not reduce the pricing errors to a set of test assets. When taking transaction costs into account, the ranking of asset pricing models changes. The preferred model from both the direct and data-driven model comparison methods now consists of a three-factor model comprising the market, size, and an earnings-based value factor.
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