Following the Crowd: Unveiling the Impact of Macroeconomic Shocks and Monetary Policy Shifts on Herding Dynamics in the Bangladesh Equity Market

The study examines the dynamics of herding behavior in relation to macroeconomic shocks and monetary policy shifts in the Bangladesh equity market. By employing robust empirical methodologies across distinct market states including bullish, bearish, crisis, extended crisis, and COVID-19 phases, we first demonstrate that herding prevails under conditions of heightened uncertainty. Based on this foundation, we examine how exchange rate fluctuations and interest rate shifts alongside changes in deposit rates and reserve requirements serve as catalysts for collective investor behavior. The findings demonstrate that depreciation of the domestic currency and reductions in interest rates result in significant intensification of herding during vulnerable market phases. Moreover, monetary policy adjustments, predominantly changes in deposit rates and reserve ratios, trigger coordinated trading responses, especially during bearish and crisis markets. These results reveal the profound sensitivity of frontier equity markets to macro-financial signals and underscore the critical role of policy communication and stability in mitigating destabilizing herd dynamics. By bridging macroeconomic policy and investor psychology in a frontier market context, this research offers practical insights that can help regulators and policymakers improve market resilience.

Authors

Institutions

Publication Details

Journal
Economies
Published
2025-10-28
DOI
https://doi.org/10.3390/economies13110306
Citations
1
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Following the Crowd: Unveiling the Impact of Macroeconomic Shocks and Monetary Policy Shifts on Herding Dynamics in the Bangladesh Equity Market

Muhammad Enamul Haque, Mahmood Osman Imam
1 citations
Economies
COVID-19 Pandemic Impacts
3.13
article

Following the Crowd: Unveiling the Impact of Macroeconomic Shocks and Monetary Policy Shifts on Herding Dynamics in the Bangladesh Equity Market

Muhammad Enamul Haque, Mahmood Osman Imam
article en
1 citations

Abstract

The study examines the dynamics of herding behavior in relation to macroeconomic shocks and monetary policy shifts in the Bangladesh equity market. By employing robust empirical methodologies across distinct market states including bullish, bearish, crisis, extended crisis, and COVID-19 phases, we first demonstrate that herding prevails under conditions of heightened uncertainty. Based on this foundation, we examine how exchange rate fluctuations and interest rate shifts alongside changes in deposit rates and reserve requirements serve as catalysts for collective investor behavior. The findings demonstrate that depreciation of the domestic currency and reductions in interest rates result in significant intensification of herding during vulnerable market phases. Moreover, monetary policy adjustments, predominantly changes in deposit rates and reserve ratios, trigger coordinated trading responses, especially during bearish and crisis markets. These results reveal the profound sensitivity of frontier equity markets to macro-financial signals and underscore the critical role of policy communication and stability in mitigating destabilizing herd dynamics. By bridging macroeconomic policy and investor psychology in a frontier market context, this research offers practical insights that can help regulators and policymakers improve market resilience.

EconomiesVol. 13(11)
University of Dhaka (BD), United International University (BD)
Openalex Percentile: Top 6%
COVID-19 Pandemic Impacts
3.13
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.