业绩vs营业额:4000个阿尔法的故事

Zurab Kakushadze, Igor Tulchinsky
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引用次数: 6

摘要

我们分析了4000个真实交易组合(美国股票)的经验数据,持仓期约为0.7-19个交易日。我们发现了一个简单的比例C ~ 1/T,其中C是每股美分,T是投资组合周转率。因此,投资组合收益R对周转率t没有统计学上显著的依赖关系。我们还发现了一个缩放R ~ V^X,其中V是投资组合的波动性,并且对于长达10天左右的持仓期,幂X约为0.8-0.85。据我们所知,这是唯一公开的实证研究如此大量的现实生活中的交易组合/阿尔法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance v. Turnover: A Story by 4,000 Alphas
We analyze empirical data for 4,000 real-life trading portfolios (U.S. equities) with holding periods of about 0.7-19 trading days. We find a simple scaling C ~ 1/T, where C is cents-per-share, and T is the portfolio turnover. Thus, the portfolio return R has no statistically significant dependence on the turnover T. We also find a scaling R ~ V^X, where V is the portfolio volatility, and the power X is around 0.8-0.85 for holding periods up to 10 days or so. To our knowledge, this is the only publicly available empirical study on such a large number of real-life trading portfolios/alphas.
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