Reversal in Post-Earnings Announcement Drift

The post-earnings announcement drift (the tendency of stocks to drift in the direction of earnings announcement surprise during next quarter) is a well-known effect many times analyzed in academic literature. However, recent research speculates that maybe it is known too much.

Arbitrageurs started to exploit this anomaly, and it seems that the effect reversed in most liquid stocks. Research paper by Milian shows that stocks which had the worst return during past earning announcement deliver substantially better return during the days around the next earnings announcement. Classical PEAD (post-earnings announcement drift) literature examines mainly quarterly returns; therefore, it is probable that PEAD still holds. However, Milian’s work shows a way how to profit from traders’ over-reaction to a classical anomaly.

Fundamental reason

The academic paper speculates that it seems that due to their well-documented history of apparently underreacting to earnings news, investors are now overreacting to earnings announcement news. However, classical PEAD (post-earnings announcement drift) literature examines mainly quarterly portfolio returns while this academic paper focuses on 2-days return; therefore, it is probable that PEAD still holds and both anomalies exist concurrently.

Get Premium Trading & Strategy Ideas

  • Unlocked Screener & Advanced Charts
  • 450+ uncommon trading strategy ideas
  • New strategies on a bi-weekly basis
  • 800+ links to academic research papers
  • 270+ out-of-sample backtests
Markets Traded

Backtest period from source paper

Confidence in anomaly's validity
Moderately Strong

Indicative Performance

Notes to Confidence in Anomaly's Validity

OOS back-test shows slightly negative performance. It looks, that strategy’s alpha is deteriorating in the out-of-sample period.

Notes to Indicative Performance

per annum, annualized (aritmethically) daily return of 0.32%, daily return is estimated as 1/4 of 2-day return 1.29%, data from table 4 panel A, daily return is lowered to 1/4 as it can be expected that portfolio would not be held every day (earnings announcements are distributed sporadically during calendar year)

Period of Rebalancing

Estimated Volatility

Notes to Period of Rebalancing

Notes to Estimated Volatility

not stated

Number of Traded Instruments

Maximum Drawdown

Notes to Number of Traded Instruments

estimated average number of stocks held during one day

Notes to Maximum drawdown

not stated

Complexity Evaluation
Complex strategy

Sharpe Ratio

Notes to Complexity Evaluation

United States

Financial instruments

Simple trading strategy

The investment universe consists of all stocks from NYSE, AMEX, and NASDAQ with active options market (so mostly large-cap stocks). Each day investor selects stocks which would have earnings announcement during the next working day. He then checks the abnormal performance of these stocks during the previous earnings announcement. Investor goes long decile of stocks with the lowest abnormal past earnings announcement performance and goes short stocks with the highest abnormal past performance. Stocks are held for two days, and the portfolio is weighted equally.

Hedge for stocks during bear markets

Not known - Source and related research papers don’t offer insight into the correlation structure of the proposed trading strategy to equity market risk; therefore, we do not know if this strategy can be used as a hedge/diversification during the time of market crisis. The strategy is built as a long-short, but it can be split into two parts. The long leg of the strategy is surely strongly correlated to the equity market; however, the short-only leg might be used as a hedge during bad times. Rigorous backtest is, however, needed to determine return/risk characteristics and correlation.

Source paper
Out-of-sample strategy's implementation/validation in QuantConnect's framework (chart+statistics+code)
Other papers

Get Quantpedia Premium or Pro

  • Unlocked Screener & 100+Advanced Charts
  • 500+ uncommon trading strategy ideas
  • New strategies on a bi-weekly basis
  • 800+ links to academic research papers
  • 300+ out-of-sample backtests
  • Design multi-factor multi-asset portfolios

Subscribe for Newsletter

Be first to know, when we publish new content

    The Encyclopedia of Quantitative Trading Strategies

    Log in