Results 11 to 20 of about 47,719 (293)
AbstractHerding is a deterministic algorithm used to generate data points regarded as random samples satisfying input moment conditions. This algorithm is based on a high-dimensional dynamical system and rooted in the maximum entropy principle of statistical inference.
Hiroshi Yamashita +2 more
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Investor Herding Behavior in Infrastructure Companies on the IDX: Data Panel Approach
This research aims to examine the behavior of herding investors due to the information on interest rates and trading volume. By using daily infrastructure company data on the IDX, it is found that interest rates have a negative effect, while volume has a
Hartaty Hadady, Rachman Dano Mustafa
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Herd culture and herd immunity
Abstract Although communicable diseases affect our bodies, they occur in a society that interprets and gives them meaning. Herd immunity provides the body protection; however, long-term protection requires shifts in the way people interpret and respond to disease, cultural transformation that enables the development of the knowledge, habits and skills ...
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Herding Behavior: Intensification and Flow in the Indonesian Stock Market
Subject and purpose of work: This paper explores whether herding behavior is formed according to the type of investor, how long the transmission of herding behavior occurs, and identifies how big the reaction of herding behavior is and how the flow of ...
Hidayati Lina Nur +2 more
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Investor Sentiment and Herding Behavior in the Korean Stock Market
This paper investigates herding behavior and the connection between herding behavior and investor sentiment. We apply a Cross-Sectional Absolute Deviation (CSAD) approach and the quantile regression method to capture herding behavior in the KOSPI and ...
Ki-Hong Choi, Seong-Min Yoon
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Chinese stock market volatility and herding behavior asymmetry during the COVID-19 pandemic
The primary purpose of this paper is to explore the herding behavior in the Chinese stock market during COVID-19 and the asymmetry of that behavior using the daily returns of A- and B-shares from 2 January 2019, to 15 October 2021.
Fan Fei, Jianing Zhang
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How financial literacy moderate the association between behaviour biases and investment decision? [PDF]
Purpose - The purpose of the study is to examine the impact of behavioural biases (i.e. overconfidence, risk-aversion, herding and disposition) on investment decisions amongst gender.
Mohd Adil +2 more
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Cross-Market Herding: Do ‘Herds’ Herd with Each Other?
Although herding constitutes one of the most widely researched behavioral trading patterns internationally, the possibility of cross-market herding has remained largely underexplored in the literature. Our study provides a detailed empirical investigation of this issue in the context of ten Asia-Pacific markets for the February 1995–March 2022 window ...
Sandra Ferreruela +2 more
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The Effect of COVID-19 on Herding Behavior in Eastern European Stock Markets
Unlike past health crises that were more localized, the highly contagious coronavirus disease 2019 (COVID-19) crisis is impacting the world to an unprecedented extent.
Hao Fang +3 more
doaj +1 more source
Information cascades, short-selling constraints, and herding in equity markets
This paper examines the relationship between informed trading and herding in Borsa İstanbul. Our firm-level cross-sectional analysis asserts that informed trading can significantly increase future herding levels.
Murat Tiniç +2 more
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