We analyze in this study what could have caused herding in the stock market. Information cascades have often been … with lower frequency based on a herding measure of Lakonishok, Shleifer, and Vishny (1992). We adopt instead the measure of … Patterson and Sharma (2006) and argue that the search model of Vayanos and Wang (2007) characterize herding phenomenon better …

concerns of herding and momentum effects the procedure was changed to simultaneous voting. Exploiting a novel dataset of more … structural model that allows us to measure the magnitude and importance of informational herding. We show that experts, voting on …

to identify herding. Estimates suggest that around half of the panelists are willing to vote against their private …-votes. Temporary committee members are more prone to herding than regular (standing) members. We find that simultaneous voting improves …

We analyze in this study cause of herding in a stock market. Information cascades have often been considered as a …, previous works used data with daily or lower frequency based on a herding measure of Lakonishok, Shleifer, and Vishny (1992 …) characterizes herding phenomenon better, especially at market open. Our analysis is also consistent with the information competition …

though they can discuss the outcomes of their choices. Models of informational herding or cascades have examined how rational … the cascades/herding literature. In a setting which adds 'conversational' learning about both the payoff outcomes of … predecessors to a basic cascades model, we describe conditions under which (1) cascades/herding occurs with probability one; (2 …

We consider a standard sequential decision to adopt/buy a good in a herding environment. The setup is same as in Sgroi … (2002). Contrary to the basic herding case we introduce a cost that the agents have to pay for the information about their … predecessors' actions. All agents receive informative signals as in the standard herding models but do not view the actions taken …