A Panel Regression Approach to Holdings-Based Fund Performance Measures

W. Ferson, Junbo Wang
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Abstract

Portfolio performance measures using holdings data are panel regressions. The returns of a fund’s stocks are regressed on its lagged portfolio weights. Stock fixed effects isolate average performance from time-series predictive ability. Control variables condition for fund performance on the characteristics of the stocks held. The long-term performance of average holdings drives some of the classical measures, while predictive ability drives others. A “buy-and-hold drift,” where portfolio weights increase over time in the higher alpha stocks, affects performance measures. Investor flows respond to average performance net of the buy-and-hold drift. (JEL G11, G14, G23, G29). Received September 3, 2020; editorial decision January 25, 2021 by Thierry Foucault. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
基于持股的基金绩效评估的面板回归方法
使用持股数据的投资组合绩效指标是面板回归。基金股票的回报是根据其滞后的投资组合权重进行回归的。股票固定效应将平均业绩从时间序列预测能力中分离出来。基金业绩的控制变量条件取决于所持股票的特点。一些经典指标是由平均持股的长期表现决定的,而另一些则是由预测能力决定的。“买入并持有的漂移”,即投资组合权重随着时间的推移而增加,会影响业绩指标。投资者流动反应平均业绩净买入并持有漂移。(凝胶g11, g14, g23, g29)。2020年9月3日收稿;编辑决定,2021年1月25日,由蒂埃里·福柯撰写。作者们提供了一份互联网附录,可以在牛津大学出版社的网站上找到,就在最终发表论文的链接旁边。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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