Add to ORKGIn this paper, we examine institutional trading surrounding corporate news by combining a comprehensive database of news releases for all US firms during 2000 to 2010 with a high-frequency database of institutional trades. We find that institutions trade on the news tone only on the news release day. This news-trading pattern is more pronounced for news related to firm fundamentals, and with a less ambiguous content. News-driven institutional trades result in abnormal returns during the following four weeks. Our results suggest that the trading advantage of institutional investors stems from their ability to process information in a very timely manner
This thesis includes one essay about the information production of institutional investors and two e...
We show that the positive relation between institutional ownership and future stock returns document...
Using unique daily fund-manager trade data, we examine the role of institutional trading in influenc...
This dissertation studies the daily institutional investors trading patterns before and after public...
Using the database of holding and trades of global institutional investors, we show that discretiona...
This paper combines daily buy and sell institutional trading volume with all news announcements from...
This dissertation studies the daily institutional investors trading patterns before and after public...
Are Institutions Informed About News? This paper combines daily non-public data on buy and sell volu...
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...
Institutional investors, such as pension funds and mutual funds, play an essential role in the U.S. ...
Trading by institutional investors has always been under scrutiny, both by regulators as well as aca...
This study investigates the price discovery process in equity markets with informed institutional in...
This paper establishes a robust link between the trading behavior of institutions and the book-to-ma...
The author examines the patterns of trading behavior in the period surrounding monetary policy annou...
This thesis includes one essay about the information production of institutional investors and two e...
We show that the positive relation between institutional ownership and future stock returns document...
Using unique daily fund-manager trade data, we examine the role of institutional trading in influenc...
This dissertation studies the daily institutional investors trading patterns before and after public...
Using the database of holding and trades of global institutional investors, we show that discretiona...
This paper combines daily buy and sell institutional trading volume with all news announcements from...
This dissertation studies the daily institutional investors trading patterns before and after public...
Are Institutions Informed About News? This paper combines daily non-public data on buy and sell volu...
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...
Institutional investors, such as pension funds and mutual funds, play an essential role in the U.S. ...
Trading by institutional investors has always been under scrutiny, both by regulators as well as aca...
This study investigates the price discovery process in equity markets with informed institutional in...
This paper establishes a robust link between the trading behavior of institutions and the book-to-ma...
The author examines the patterns of trading behavior in the period surrounding monetary policy annou...
This thesis includes one essay about the information production of institutional investors and two e...
We show that the positive relation between institutional ownership and future stock returns document...
Using unique daily fund-manager trade data, we examine the role of institutional trading in influenc...