This paper combines daily buy and sell institutional trading volume with all news announcements from Reuters. Using institutional order flow (buy volume minus sell volume) we find a variety of evidence that institutions are informed. Institutional trading volume predicts the occurrence of news announcements. Institutional order flow predicts (i) the sentiment of the news; (ii) the stock market reaction on news announcement days; (iii) the stock market reaction on crisis news days; and (iv) earnings announcement surprises. These results suggest that significant price discovery related to news stories occurs through institutional trading prior to the news announcement date
We examine how the amount and configuration of firm-specific news events affects inferences about th...
This study examines trading volume reaction to earnings announcements; specifically the effect of in...
We show that the positive relation between institutional ownership and future stock returns document...
This paper combines daily buy and sell institutional trading volume with all news announcements from...
Are Institutions Informed About News? This paper combines daily non-public data on buy and sell volu...
This dissertation studies the daily institutional investors trading patterns before and after public...
In this paper, we examine institutional trading surrounding corporate news by combining a comprehens...
This dissertation studies the daily institutional investors trading patterns before and after public...
This study investigates the price discovery process in equity markets with informed institutional in...
Using the database of holding and trades of global institutional investors, we show that discretiona...
Many questions about institutional trading can only be answered if one tracks high-frequency changes...
Many questions about institutional trading can only be answered if one tracks high-frequency changes...
We show that the positive relation between firm-level cash-flow news and institutional ownership doc...
The author examines the patterns of trading behavior in the period surrounding monetary policy annou...
In this paper, we consider the trading behavior of institutional investors and short sellers around ...
We examine how the amount and configuration of firm-specific news events affects inferences about th...
This study examines trading volume reaction to earnings announcements; specifically the effect of in...
We show that the positive relation between institutional ownership and future stock returns document...
This paper combines daily buy and sell institutional trading volume with all news announcements from...
Are Institutions Informed About News? This paper combines daily non-public data on buy and sell volu...
This dissertation studies the daily institutional investors trading patterns before and after public...
In this paper, we examine institutional trading surrounding corporate news by combining a comprehens...
This dissertation studies the daily institutional investors trading patterns before and after public...
This study investigates the price discovery process in equity markets with informed institutional in...
Using the database of holding and trades of global institutional investors, we show that discretiona...
Many questions about institutional trading can only be answered if one tracks high-frequency changes...
Many questions about institutional trading can only be answered if one tracks high-frequency changes...
We show that the positive relation between firm-level cash-flow news and institutional ownership doc...
The author examines the patterns of trading behavior in the period surrounding monetary policy annou...
In this paper, we consider the trading behavior of institutional investors and short sellers around ...
We examine how the amount and configuration of firm-specific news events affects inferences about th...
This study examines trading volume reaction to earnings announcements; specifically the effect of in...
We show that the positive relation between institutional ownership and future stock returns document...