Investor Inattention and the Market Impact of Summary Statistics
研究发现美国股票和国债期货价格对重复发布的陈旧信息（如美国领先经济指数）有显著反应，投资者因忽视信息的陈旧性而引发暂时性错误定价，可利用此策略获得约8%的年化收益。
We show that U.S. stock and Treasury futures prices respond sharply to recurring stale information releases. In particular, we identify a unique macroeconomic series—the U.S. Leading Economic Index ® (LEI)—which is released monthly and constructed as a summary statistic of previously released inputs. We show that a front-running strategy that trades S&P 500 futures in the direction of the announcement a day before its release and then trades in the opposite direction of the announcement following its release generates an average annual return of close to 8%. These patterns are more pronounced for high beta stocks, for stocks that are more difficult to arbitrage, and during times when investors' sensitivity to firm-specific stale information is high. Treasury futures exhibit similar, albeit less pronounced, price patterns. Other measures of information arrival, such as price volatility and volume, spike following the release. These empirical findings suggest that some investors are inattentive to the stale nature of the information included in the LEI releases, instead interpreting it as new information, and thereby causing temporary yet significant mispricing. This paper was accepted by Brad Barber, Teck Ho, and Terrance Odean, special issue editors.