Exploring market-wide herding behavior in the major stock markets of Latin America

Purpose This paper investigates market-wide herding behavior among investors in the stock markets of Brazil, Chile, Colombia and Mexico from January 2013 to December 2022. Design/methodology/approach We analyze a survivor-bias-free dataset of daily stock returns, employing a measure reflecting the cross-sectional deviation of stock returns relative to market consensus. Findings Significant anti-herding is observed in Brazil and Mexico, while Chile and Colombia show results consistent with rational asset pricing models. The COVID-19 pandemic generally intensifies anti-herding trends. Additionally, significant asymmetries in herding/anti-herding effects are noted during different market trends and volatility levels. Furthermore, we identify the drivers of this phenomenon, revealing that extreme crude oil price movements are associated with more pronounced anti-herding, and herding/anti-herding effects appear synchronized across all four markets. Practical implications Our findings regarding synchronization in herding dynamics suggest challenges in realizing the desired benefits of international diversification in the region. Social implications The significant cross-country effects indicate that herding dynamics may play a crucial role in precipitating regional financial crises. Originality/value For the first time, we examine various features of herding behavior in the sample markets, including the impact of the COVID-19 pandemic, psychological and economic drivers of the phenomenon and synchronization in herding dynamics among the four markets.

Authors

Institutions

Publication Details

Journal
Academia Revista Latinoamericana de Administración
Published
2024-10-25
DOI
https://doi.org/10.1108/arla-04-2024-0057
Citations
3
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring market-wide herding behavior in the major stock markets of Latin America

Júlio Lob�ão, Benedita Almeida
3 citations
Academia Revista Latinoamericana de Administración
Market Dynamics and Volatility
3.39
article

Exploring market-wide herding behavior in the major stock markets of Latin America

Júlio Lob�ão, Benedita Almeida
article en
3 citations

Abstract

Purpose This paper investigates market-wide herding behavior among investors in the stock markets of Brazil, Chile, Colombia and Mexico from January 2013 to December 2022. Design/methodology/approach We analyze a survivor-bias-free dataset of daily stock returns, employing a measure reflecting the cross-sectional deviation of stock returns relative to market consensus. Findings Significant anti-herding is observed in Brazil and Mexico, while Chile and Colombia show results consistent with rational asset pricing models. The COVID-19 pandemic generally intensifies anti-herding trends. Additionally, significant asymmetries in herding/anti-herding effects are noted during different market trends and volatility levels. Furthermore, we identify the drivers of this phenomenon, revealing that extreme crude oil price movements are associated with more pronounced anti-herding, and herding/anti-herding effects appear synchronized across all four markets. Practical implications Our findings regarding synchronization in herding dynamics suggest challenges in realizing the desired benefits of international diversification in the region. Social implications The significant cross-country effects indicate that herding dynamics may play a crucial role in precipitating regional financial crises. Originality/value For the first time, we examine various features of herding behavior in the sample markets, including the impact of the COVID-19 pandemic, psychological and economic drivers of the phenomenon and synchronization in herding dynamics among the four markets.

Academia Revista Latinoamericana de AdministraciónVol. 37(4)
Universidade do Porto (PT)
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.