Does geopolitical risk influence foreign investors’ decisions in the stock market? An ARDL approach

Abstract This paper aims to investigate the relationship between geopolitical risk and foreign investor sentiment in the Malaysian and Indonesian stock markets. This research considers other macroeconomic variables, such as oil price, real effective exchange rate, and lending rate, as the controlled variables. This analysis uses the autoregressive distributed lag (ARDL) model to estimate the long-run relationship of selected geopolitical risk indices, specifically from the USA, China, Malaysia, and Indonesia, on foreign investor trading behaviour (buy and sell). The finding shows that China's geopolitical risk will increase the trading volume of foreign buyers and sellers in the Malaysian stock market. The China-US geopolitical risk has both negative and positive effects on foreign investor trading behaviour in the Indonesian stock market. The Indonesian geopolitical risk has a significant positive effect on foreign buyers' trading. This indicates foreign investors consider foreign geopolitical risk before making their own decision. The policymaker must actively be involved in formulating the policy to enhance the market stability measures to ensure the foreign investor confidence in the Malaysia and Indonesia stock markets.

Authors

Institutions

Publication Details

Journal
Future Business Journal
Published
2026-01-30
DOI
https://doi.org/10.1186/s43093-026-00736-6
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does geopolitical risk influence foreign investors’ decisions in the stock market? An ARDL approach

Mohammad Bintang Pamuncak, Abdul Hafizh Mohd Azam, Yusri Yahya, Mohd Azlan Shah Zaidi
Future Business Journal
Market Dynamics and Volatility
article

Does geopolitical risk influence foreign investors’ decisions in the stock market? An ARDL approach

Mohammad Bintang Pamuncak, Abdul Hafizh Mohd Azam, Yusri Yahya, Mohd Azlan Shah Zaidi
article en

Abstract

Abstract This paper aims to investigate the relationship between geopolitical risk and foreign investor sentiment in the Malaysian and Indonesian stock markets. This research considers other macroeconomic variables, such as oil price, real effective exchange rate, and lending rate, as the controlled variables. This analysis uses the autoregressive distributed lag (ARDL) model to estimate the long-run relationship of selected geopolitical risk indices, specifically from the USA, China, Malaysia, and Indonesia, on foreign investor trading behaviour (buy and sell). The finding shows that China's geopolitical risk will increase the trading volume of foreign buyers and sellers in the Malaysian stock market. The China-US geopolitical risk has both negative and positive effects on foreign investor trading behaviour in the Indonesian stock market. The Indonesian geopolitical risk has a significant positive effect on foreign buyers' trading. This indicates foreign investors consider foreign geopolitical risk before making their own decision. The policymaker must actively be involved in formulating the policy to enhance the market stability measures to ensure the foreign investor confidence in the Malaysia and Indonesia stock markets.

Future Business JournalVol. 12(1)
Islamic University of Indonesia (ID), Universitas Ibn Khaldun Bogor (ID), University of Kuala Lumpur (MY), National University of Malaysia (MY)
Partnerships for the goals
Openalex Percentile: Top 76%
Market Dynamics and Volatility
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.