Dynamic Conditional Correlation Analysis of Investor Herding: Evidence from the Indonesian and Malaysian Capital Markets

Document Type : Research Paper

Authors

1 Faculty of Economics, Islam Batik University, Surakarta, Indonesia

2 Faculty of Economics and Business, Kristen Satya Wacana University, Salatiga, Indonesia.

3 Faculty of Economics and Business, Kristen Satya Wacana University, Salatiga, Indonesia

10.22059/ier.2024.367749.1007841

Abstract

This paper applies the Dynamic Conditional Correlation (DCC) multivariate GARCH model by including a volatility index to examine herding behavior. We analyzed whether stock return dispersion to the market return has a time-varying conditional correlation in the Indonesian and Malaysian capital markets. We used daily returns data of blue-chip stock and LQ45 & FTSE KLCI index for the January 2015 – December 2022 to capture herding effects among the investors of both capital markets. The main findings demonstrate herding behavior in bullish markets before the pandemic, but only for the LQ45 and not for the FTSE KLCI. Herding will result in lower market returns. We further establish that the volatility index exhibits positive significant changes in a bearish condition amidst the epidemic in both indexes. These findings suggest that while institutional and long-term investors dominate the market for blue-chip companies, they nonetheless make investment decisions based on the majority under specific circumstances. The partial presence of herding behavior and anxiety indices in the market provide support for the behavioral finance theory, which suggests that individuals may exhibit irrational behavior.  

Keywords

Main Subjects

Iranian Economic Review

Articles in Press, Accepted Manuscript
Available Online from 12 February 2024

Files

Share

How to cite

Statistics