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 …

sense of Stoll (2000), especially in the presence of trading concentration. Applying the measures of Hu (2006) and Kang and … Yeo (2008), we analyze the noise proportion in intraday stock returns and its interaction with investor herding and search …

We extend the experimental literature on Bayesian herding using evidence from a financial decision-making experiment …. We identify significant propensities to herd increasing with the degree of herd-consensus. We test various herding models … significant associations between herding and individual characteristics such as age and personality traits. Overall, our evidence …

will make herding more significant over the Internet, resulting in a greater concentration of online traffic; (2) the first …

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 …

herding behavior than queue lengths per se. Agents with only marginally better and imperfect information can trigger other …

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 …