PURPOSE Herding is a phenomenon by which individuals follow the behavior of others rather than deciding independently on the basis of their own private information. A herding-like phenomenon can occur in multiple sclerosis (MS) when a neurologist follows a therapeutic recommendation by a colleague even though it is not supported by best practice clinical guidelines. Limited information is curre...

Abstract This paper investigates herding behavior of investors in three frontier Nordic countries from July 1, 2002 until 30, 2021, under different market conditions and during crises that occurred this period. As estimation methods, we use both OLS quantile regression determine up down market, high low volatility induce a weak for at least one almost all examined, except Latvia. At the same ti...

Purpose The purpose of this paper is to investigate whether market conditions have an effect on investors’ propensity herd in emerging economy’s stock market. Additionally, given the lack research Islamic behavioral finance, authors further if herding phenomenon distinct versus conventional stocks. Design/methodology/approach used daily data for period 1995–2016 according behavior model Chang e...

This paper proposes a bridge between the Herding literature and the literature on Rational Expectations under asymmetric information. In particular we examine how the presence of discrete investment decisions affects the properties of a market equilibrium where information is costly to acquire. We choose to focus on the case where individual decisions are discrete since this appears to be the k...

We conducted an interpretive, qualitative research study to investigate herding behavior around trending posts about disasters on Sina Weibo, one of the most popular social media websites in China. Our preliminary results show that in response to uncertain situations, users engage in sensemaking (Seidel, 2013) and become emotionally engaged (Taylor, 2015) as they converge around trending posts ...

Rational herd behavior and informationally efficient security prices have long been considered to be mutually exclusive but for exceptional cases. In this paper we describe the conditions on the underlying information structure that are necessary and sufficient for informational herding and contrarianism. In a standard sequential security trading model, subject to sufficient noise trading, peop...

Our society is increasingly relying on the digitized, aggregated opinions of others to make decisions. We therefore designed and analyzed a large-scale randomized experiment on a social news aggregation Web site to investigate whether knowledge of such aggregates distorts decision-making. Prior ratings created significant bias in individual rating behavior, and positive and negative social infl...

• We assess herding in conventional cryptocurrencies, NFT and DeFi digital assets; No evidence of static herding; Time-varying is identified cryptocurrencies markets exhibit only during low volatility days; Cryptocurrency bubble 2021 has not amplified herding. examine the time-varying behavior three cryptocurrency classes: ‘conventional’ non-fungible tokens, assets most recent 2021. While analy...