云股定价:来自中国的证据

Lichao Lin, A. Cheung
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摘要

本文运用因子模型研究了中国股票市场中云股票的两个定价问题。特别是,我们检验Fama和French因子模型是否有助于解释云股票的股价,以及这些模型是否存在无法解释的异常收益。利用2012年至2022年1670只云股票的日股价,我们发现因子模型可以解释近97%的云股票的股票收益变化,以及错误定价。结果是稳健的替代措施的因素,异常值,采样周期和不同的方法因素建模。
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Pricing cloud stocks: Evidence from China
Using factor models, we examine two pricing issues of cloud stocks in China's stock market. In particular, we test whether the Fama and French factor models are useful to explain the stock prices of cloud stocks and whether there are abnormal returns unexplained by these models. Using the daily stock prices of 1670 cloud stocks from 2012 to 2022, we find that the factor models explain up to nearly 97% of the stock return variations of the cloud stocks, and mispricing. The results are robust to alternative measure of factors, outliers, sampling period and different approaches of factor modelling.
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