This study comprehensively analyzes herding behavior in the cryptocurrency market. First, we conduct an in-depth investigation of overall Second, form several groups cryptocurrencies according to their characteristics and analyze whether each group behaves similarly volatile market regimes. Third, investigate existed before during COVID-19 pandemic. Using a sample 227 constituting nearly 95% ca...

Here we study the emergence of spontaneous collective leadership in large populations. In standard models of opinion dynamics, herding behavior is only obeyed at the local scale due to the interaction of single agents with their neighbors; while at the global scale, such models are governed by purely diffusive processes. Surprisingly, in this paper we show that the combination of a strong separ...

Several theories of reputation and herd behavior (e.g., Scharfstein and Stein (1990), and Zwiebel (1995)) suggest that herding among agents should vary with career concerns. Our goal is to document whether such a link exists in the labor market for security analysts. We find that inexperienced analysts are more likely to be terminated for inaccurate earnings forecasts than are their more experi...

Inspired by real-world sheepdog herding behavior, in this paper, four behavior-based algorithms have been proposed for the social force model-based sheep herd. First, a basic algorithm is designed where types of critical are rigorously defined. The decision made constantly checking positions these sheep. Then, on top algorithm, two extra mechanisms considered to improve performance namely dynam...

A model is developed which implies that if an analyst has high reputation or low ability, or if there is strong public information that is inconsistent with the analyst's private information, she is likely to herd. Herding is also common when informative private signals are positively correlated across analysts. The model is tested using data from analysts who publish investment newsletters. Co...

The herd behavior of returns is investigated in Korean futures exchange market. It is obtained that the probability distribution of returns for three types of herding parameter scales as a power law R with the exponents β = 3.6(KTB203) and 2.9(KTB209) in two kinds of Korean treasury bond. For our case since the active state of transaction exists to decrease lesser than the herding parameter h =...