Does Academic Research Destroy Stock Return Predictability?

Дата: 
16/05/13
Авторы: 
R. David McLean Jeffrey Pontiff
Аннотация: 
We study the out-of-sample and post-publication return-predictability of 82 characteristics that are identified in published academic studies. The average out-of-sample decay due to statistical bias is about 10%, but not statistically different from zero. The average post-publication decay, which we attribute to both statistical bias and price pressure from aware investors, is about 35%, and statistically different from both 0% and 100%. Our findings point to mispricing as the source of predictability. Post-publication, stocks in characteristic portfolios experience higher volume, variance, and short interest, and higher correlations with portfolios that are based on published characteristics. Consistent with costly (limited) arbitrage, post-publication return declines are greater for characteristic portfolios that consist of stocks with low idiosyncratic risk.
Описание: 

Анализ как ведут себя 72 аномалии после публикации - снижается ли альфа по ним. Вроде как снижается. Но более интересна библиография - там как раз работы по этим 72 аномалиям, можно использовать для формирования стратегий и структурирования таблицы аномалий.