Measuring Portfolio Gains: The Case of Earnings Announcement Trading Signals

Matthew R. Lyle, T. Yohn
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Abstract

This study offers solutions to help address practical issues researchers generally overlook when assessing gains from a trading signal. Specifically, the methodologies used in previous research generally ignore investor risk aversion when forming portfolios, do not update portfolios as signals arrive, exploit look-ahead biases, do not assess the incremental gains of a new signal, and do not consider market frictions. We examine trading signals based on post-earnings announcement drift (PEAD), the earnings announcement premium (EAP), and earnings announcement rescheduling (RES). Using our proposed approach, we find that portfolios that incorporate the individual signals produce higher Sharpe ratios than equal-weighted portfolios; however, the gains for each signal are concentrated to a few days around the announcement. The EAP and RES signals do not provide incremental portfolio gains over the PEAD signal. After considering market frictions, portfolio performance rapidly attenuates and becomes similar to the SPY ETF as the portfolio size increases. JEL Classifications: G12; G14; G17.
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衡量投资组合收益:盈利公告交易信号案例
本研究提供的解决方案有助于解决研究人员在评估交易信号收益时普遍忽视的实际问题。具体来说,以往研究中使用的方法一般会忽略投资者在形成投资组合时的风险规避,不会在信号到来时更新投资组合,利用前瞻性偏差,不会评估新信号的增量收益,也不会考虑市场摩擦。我们研究了基于盈利公布后漂移(PEAD)、盈利公布溢价(EAP)和盈利公布重新安排(RES)的交易信号。使用我们提出的方法,我们发现,与等权重投资组合相比,包含单个信号的投资组合能产生更高的夏普比率;但是,每个信号的收益都集中在公告前后的几天内。与 PEAD 信号相比,EAP 和 RES 信号并没有带来增量投资组合收益。考虑市场摩擦因素后,随着投资组合规模的增加,投资组合的表现迅速减弱,变得与 SPY ETF 相似。 JEL 分类:G12; G14; G17G12;G14;G17。
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