Herding and Google search queries in the Brazilian stock market

IF 1.9 Q2 BUSINESS, FINANCE Review of Behavioral Finance Pub Date : 2023-09-07 DOI:10.1108/rbf-12-2022-0296
Jeferson Carvalho, Paulo Vitor Jordão da Gama Silva, M. Klotzle
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Abstract

PurposeThis study investigates the presence of herding in the Brazilian stock market between 2012 and 2020 and associates it with the volume of searches on the Google platform.Design/methodology/approachFollowing methodologies are used to investigate the presence of herding: the Cross-Sectional Standard Deviation of Returns (CSSD), the Cross-Sectional Absolute Deviation (CSAD) and the Cross-Sectional Deviation of Asset Betas to the Market.FindingsMost of the models detected herding. In addition, there was a causal relationship between peaks in Google search volumes and the incidence of herding across the whole period, especially in 2015 and 2019.Originality/valueThis study suggests that confirmation bias influences investors' decisions to buy or sell assets.
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巴西股市的放牧和谷歌搜索查询
本研究调查了2012年至2020年巴西股市中的羊群现象,并将其与谷歌平台的搜索量联系起来。设计/方法/方法以下方法用于调查羊群的存在:收益的横截面标准差(CSSD),横截面绝对偏差(CSAD)和资产贝塔对市场的横截面偏差。大多数模型都发现了羊群现象。此外,谷歌搜索量的峰值与整个时期的羊群发生率之间存在因果关系,特别是在2015年和2019年。原创性/价值本研究表明,确认偏差影响投资者购买或出售资产的决策。
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来源期刊
Review of Behavioral Finance
Review of Behavioral Finance BUSINESS, FINANCE-
CiteScore
4.70
自引率
5.00%
发文量
44
期刊介绍: Review of Behavioral Finance publishes high quality original peer-reviewed articles in the area of behavioural finance. The RBF focus is on Behavioural Finance but with a very broad lens looking at how the behavioural attributes of the decision makers influence the financial structure of a company, investors’ portfolios, and the functioning of financial markets. High quality empirical, experimental and/or theoretical research articles as well as well executed literature review articles are considered for publication in the journal.
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