Stephanie Kremer

Short‐Term Herding of Institutional Traders: New Evidence from the German Stock Market

This paper employs a new and comprehensive data set to investigate short-term herding behavior of institutional investors. Using data of all transactions made by financial institutions in the German stock market, we show that herding behavior occurs on a daily basis. However, in contrast to longer-term herding measures obtained from quarterly data, results based on daily data do not indicate that short-term herding tends to be more pronounced in small capitalized stocks or in times of market stress. Moreover, we find that herding measures based on anony- mous transactions can lead to misleading results about the behavior of institutional investors during the recent financial crisis.

Correlated Trades and Herd Behavior in the Stock Market

Herd behavior is often viewed as a signi cant 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 the impact of various aspects of uncertainty on herding intensity. We test the predictions using a novel data set including all real-time transactions of institutional investors in the German stock market. In light of the model simulations, empirical results strongly suggest that the observed correlation of trades is mainly due to the common reaction of investors to new public information and should not be misinterpreted as herd behavior.

Institutional Herding in Financial Markets: New Evidence Through the Lens of a Simulated Model

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are only loosely connected. This paper contributes towards closing this gap in the herding literature. We use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. Using high-frequency, investor-specific trading data we confirm the predicted impact of information risk on herding. In contrast, the increase in buy herding measured for the financial crisis period cannot be explained by the herd model.