This paper sheds new light on herding of institutional investors by using a unique database that identifies every transaction made by financial institutions in the German stock market. First, the analysis reveals that herding behavior of insti- tutions occurs daily. Second, replication of the analysis with low-frequency and anonymous transaction data indicates that previous studies overestimate herding. Third, our results suggest that herding by large financial institutions mainly re- sults from shared preference and investment styles. Fourth, a panel analysis shows that herding on the sell side in stocks is positively related to past returns and past volatility, whereas herding on the buy side is negatively related to these variab...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Due to data limitations and the absence of testable, model-based predictions, theory and evidence on...
This paper sheds new light on herding of institutional investors by using a unique and superior data...
This paper sheds new light on herding of institutional investors by using a unique and superior data...
This paper sheds new light on herding of institutional investors by using a unique and superior data...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new t...
This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new t...
This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new t...
Due to data limitations and the absence of testable, model-based predictions, theory and evidence on...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Due to data limitations and the absence of testable, model-based predictions, theory and evidence on...
This paper sheds new light on herding of institutional investors by using a unique and superior data...
This paper sheds new light on herding of institutional investors by using a unique and superior data...
This paper sheds new light on herding of institutional investors by using a unique and superior data...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs a new and comprehensive data set to investigate short-term herding behavior of in...
This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new t...
This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new t...
This paper employs numerical simulations of the Park and Sabourian (2011) herd model to derive new t...
Due to data limitations and the absence of testable, model-based predictions, theory and evidence on...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Herd behavior is often viewed as a significant threat for the stability and effciency of financial m...
Due to data limitations and the absence of testable, model-based predictions, theory and evidence on...