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Dynamic Conditional Correlation Analysis of Investor Herding: Evidence from the Indonesian and Malaysian Capital Markets | ||
| Iranian Economic Review | ||
| مقاله 2، دوره 29، شماره 4، اسفند 2025، صفحه 1205-1233 اصل مقاله (1.05 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ier.2024.367749.1007841 | ||
| نویسندگان | ||
| Suhendro Suhendro* 1؛ Apriani Dorkas Rambu Atahau2؛ Robiyanto Robiyanto2؛ Harijono Harijono2 | ||
| 1Department of Accounting, Faculty of Economics, Batik Islamic University, Surakarta, Indonesia. | ||
| 2Department of Management, Faculty of Economics and Business, Satya Wacana Christian University, Salatiga, Indonesia. | ||
| چکیده | ||
| 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 & KLCI index for the period 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 KLCI. Herding will result in lower market returns. We further establish that the volatility index exhibits significant positive 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 provides support for the behavioral finance theory, which suggests that individuals may exhibit irrational behavior. | ||
| کلیدواژهها | ||
| Dispersion؛ DCC GARCH؛ Multivariate؛ Volatility | ||
| مراجع | ||
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