Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are only loosely connected. This paper attempts to close this gap in the herding literature. From a theoretical perspective, we use numerical simulations of a herd model to derive...

We investigate whether providers of high frequency news analytics affect the stock market. As identification, we exploit a unique experiment based on differences in news event classifications between different product releases of a major provider of news analytics. We document a causal effect of...

Often, a relatively small group of trades causes the major part of the trading costs on an investment portfolio. For the equity trades studied in this paper, executed by the world's second largest pension fund, we find that only 10% of the trades determines 75% of total market impact costs....

Herd behavior is often viewed as a signicant threat for the stability and eciency of nancial markets. This paper sheds new light on the relevance of herd behavior for observed correlation of trades. We introduce numerical simulations of a herd model to derive theory-guided predictions regarding...

Using a unique dataset containing daily institutional ownership information, we examine the relation between daily institutional trading and past, contemporaneous, and future stock returns on the Shanghai Stock Exchange (SSE). We find strong evidence of the price pressure effect induced by...

We examine the trading behavior of institutional investors during the internet bubble and crash of 1998–2001, and its impact on stock prices. Similar to some recent findings concerning the trading behavior of hedge funds and NASDAQ 100 stocks, we find that during the bubble all types of...