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Yusri Yahya, Abdul Hafizh Mohd Azam, Zulkefly Abdul Karim and Mohd Azlan Shah Zaidi
 
''Reverse herding behavior in the Malaysian stock market: a wavelet multiple cross-correlation analysis''
( 2026, Vol. 0 No.0 )
 
 
This study uses wavelet multiple cross correlations (WMCC) analysis to identify the reverse herding behaviour in equities market using a dataset from October 2009 to September 2023. WMCC is an enhances traditional cross-correlation analysis by integrating wavelet transform methods, enabling the simultaneous examination of interdependencies between multiple time series across various time scales. The empirical result shows that local retail investors lead other investors stock trading followed by local institutional in term of trading volume. This pattern occurs for both buy and sell activities thus supporting the existence of reverse herding in Malaysian stock market. Policymakers should explore implementing or enhancing mechanisms such as circuit breakers to address the potential rise in market volatility caused by retail investor sentiment and trading behaviours.
 
 
Keywords: Herding behaviour, Wavelet Multiple Cross-Correlation (WMCC), equities market, trading volume, investors
JEL: C1 - Econometric and Statistical Methods: General
G1 - General Financial Markets
 
Manuscript Received : Feb 03 2025 Manuscript Accepted : Jan 06 2026

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