已实现偏度能否预测股票收益的横截面?

Diego Amaya, Peter F. Christoffersen, Kris Jacobs, Aurelio Vasquez
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引用次数: 400

摘要

我们使用日内数据来计算股票回报的每周实现时刻,并研究它们的时间序列和横截面属性。买入最低实现偏度十分位数的股票,卖出最高实现偏度十分位数的股票,在接下来的一周平均收益为19个基点,t统计量为3.70。这个结果在各种各样的实现中都是健壮的,并且不受Fama-French和Carhart因素的影响。已实现峰度与下周的股票收益呈正相关,但并不总是显著的。我们没有发现已实现波动率与下周的股票回报之间存在很强的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Realized Skewness Predict the Cross-Section of Equity Returns?
We use intraday data to compute weekly realized moments for equity returns and study their time-series and cross-sectional properties. Buying stocks in the lowest realized skewness decile and selling stocks in the highest realized skewness decile generates an average return of 19 basis points the following week with a t-statistic of 3.70. This result is robust across a wide variety of implementations and is not captured by the Fama-French and Carhart factors. The relation between realized kurtosis and next week׳s stock returns is positive but not always significant. We do not find a strong relation between realized volatility and next week׳s stock returns.
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