through trading, and not public news, is the primary driver. We revisit the question by using
textual analysis to identify fundamental information in news. We find that this information
accounts for 49.6% of overnight idiosyncratic volatility (vs. 12.4% during trading hours), with
a considerable fraction due to days with multiple news types. We use our measure of public
information arrival to reinvestigate two important contributions in the literature related to …