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Does Volatility Cause Herding in Malaysian Stock Market? Evidence from Quantile Regression Analysis

Bibliographic Data

ID13083253
AuthorsOoi Kok Loang (0000-0003-0412-8899, Universiti Sains Malaysia, corresponding author), Zamri Ahmad (Universiti Sains Malaysia)
Year2022
Volume15
Issue2
Pages197-215
Publication date2022-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMillennial Asia (JOURNAL)
Journal identifiersISSN: 2321-7081 • E-ISSN: 0976-3996
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/09763996221101217
OpenAlexW4283778924
LanguageEN
Citations received3
References cited46

This study examines the existence, tendency and determinants of herding in the Malaysian stock market under market stress from 2016 to 2020. This study adopts ordinary least square and quantile regression models to estimate herding. Three types of measurements are used to capture volatility, which are realized volatility, Parkinson volatility and Garman and Klass volatility. The result shows that herding exists in the Malaysian stock market. Investors are observed to herd stronger in the bearish (down) market condition compared to bullish (up) market condition, especially in the upper quantile (τ > 50%). Realized volatility is found to be significant in every quantile except for the median quantile (τ = 50%) and Garman and Klass’s volatility is significant in the upper quantiles of 0.75 and 0.90. This study assists analysts and investors to formulate better investment strategies. Regulators and policymakers shall also control and regulate the herding behaviour of investors, which can deviate the stocks from their fundamentals. The existence of herding also violates the assumptions of EMH in assuming that investors are rational

Econometrics · Economics · Financial economics · Forward volatility · Herd behavior · Herding · Implied volatility · Quantile · Quantile regression · Stock (firearms · Stock market · Volatility (finance · Volatility risk premium · Volatility swap · Financial Markets and Investment Strategies · Market Dynamics and Volatility · Stock Market Forecasting Methods

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Unique citing works3
Citations per year3
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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