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AbstractWe examine stock index and Treasury futures markets around releases of U.S. macroeconomic announcements. Seven out of 21 market-moving announcements show evidence of substantial informed trading before the official release time. Prices begin to move in the "correct" direction about 30 minutes before the release time. The pre-announcement price drift accounts on average for about half of the total price adjustment. These results imply that some traders have private information about macroeconomic fundamentals. The evidence suggests that the preannouncement drift likely comes from a combination of information leakage and superior forecasting based on proprietary data collection and reprocessing of public information.Keywords: Macroeconomic news announcements; financial markets; pre-announcement effect; drift; informed trading JEL classification: E44; G14; G15 ECB Working Paper 1901, May 2016 1
Non-technical SummaryMacroeconomic indicators play an important role in business cycle forecasting and are closely watched by financial markets. Some of these indicators appear to influence financial market prices even ahead of their official release time. This paper examines the prevalence of pre-announcement price drift in U.S. stock and bond markets and looks for possible explanations.We study the impact of announcements on second-by-second E-mini S&P 500 stock The difficulty of identifying the causes of pre-announcement drift stems from the relatively small number of announcements that actually move financial markets. Nevertheless, we find that an implementation of strict release procedures makes pre-release drift less likely. This applies in particular to data released under the Principal Federal Economic Indicator (PFEI) guidelines, which impose strict security procedures. There is no evidence that modifying the calculation of market expectations, e.g., a focus on the most recent survey responses, helps in predicting the commonly used announcement surprise.Public information, such as internet activity data, predicts the surprise in a few cases where the public information closely corresponds to the forecasting target. Analogously, improvements in data processing render privately collecting large amounts of comparable information feasible, which can be used for generating proprietary forecasts ahead of time.This early information -leaked or self-calculated -does not need to be precise in order to a have a large price impact. Un...