Geopolitical Shock and Sectoral-Market Responses: Evidence from Emerging ASEAN Markets
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Abstract
This study examines whether the 2026 U.S.-Israeli military escalation against Iran generated heterogeneous stock-market responses across sectors and countries in emerging ASEAN markets. Using daily data for Indonesia, Malaysia, Thailand, and the Philippines from 2 December 2025 to 2 June 2026, the analysis constructs a country-sector panel based on three harmonized sector proxies: Commodity, Financial, and Real Economy. The market event date is set at 2 March 2026, the first ASEAN trading day after the 28 February 2026 escalation, with 26 February-2 March 2026 defined as the event/anticipation window and 3 March-2 June 2026 as the post-event period. The empirical model estimates panel regressions with country and sector fixed effects, controlling for domestic market returns, exchange-rate depreciation, Brent crude oil returns, MSCI Emerging Markets returns, and changes in the CBOE Volatility Index. The baseline results show that sectoral returns declined significantly during the post-event period, but the immediate event-window effect is not statistically significant. However, interaction tests provide no robust evidence that the shock produced statistically different responses across Commodity, Financial, and Real Economy sectors, or across the four ASEAN countries. Instead, domestic market returns and MSCI Emerging Markets returns consistently explain sectoral return variation, suggesting that the event was absorbed mainly through broad market and emerging-market spillover channels rather than through sharply differentiated sectoral or country-specific channels. The findings qualify the sectoral-heterogeneity argument in geopolitical-risk research by showing that theoretically plausible transmission channels may remain empirically muted when common regional and global market factors dominate overall.
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References
Agoraki, M.-E. K., Kouretas, G. P., & Laopodis, N. T. (2022). Geopolitical risks, uncertainty, and stock market performance. Economic and Political Studies, 10(3), 253–265. https://doi.org/10.1080/20954816.2022.2095749
Almansour, A., Aslam, A., Bluedorn, J., & Duttagupta, R. (2015). How vulnerable are emerging markets to external shocks? Journal of Policy Modeling, 37(3), 460–483. https://doi.org/10.1016/j.jpolmod.2015.03.009
Anwer, Z., & Ahmad, F. (2025). Does Geopolitical Risk Matter for ASEAN5 Economies? Evidence on Conventional and Islamic Compliant Indices. Journal of Islamic Monetary Economics and Finance, 11(2), 307–330. https://doi.org/10.21098/jimf.v11i2.2469
Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring Economic Policy Uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024
Caldara, D., & Iacoviello, M. (2022). Measuring Geopolitical Risk. The American Economic Review, 112(4), 1194–1225. https://doi.org/10.1257/aer.20191823
Caporale, G. M., Gil-Alana, L. A., & You, K. (2022). Stock Market Linkages between the Asean Countries, China and the US: A Fractional Integration/cointegration Approach. Emerging Markets Finance & Trade, 58(5), 1502–1514. https://doi.org/10.1080/1540496X.2021.1898366
Ding, W., Mazouz, K., & Wang, Q. (2021). Volatility timing, sentiment, and the short-term profitability of VIX-based cross-sectional trading strategies. Journal of Empirical Finance, 63, 42–56. https://doi.org/10.1016/j.jempfin.2021.05.003
Fama, E. F., & French, K. R. (1992). The Cross-Section of Expected Stock Returns. The Journal of Finance, 47(2), 427–465. https://doi.org/10.1111/j.1540-6261.1992.tb04398.x
Horvath, J., & Yang, G. (2024). Global Financial Risk, Equity Returns and Economic Activity in Emerging Countries. Oxford Bulletin of Economics and Statistics. https://doi.org/10.1111/obes.12595
Khatib, S. F. A., Abbas, A. F., Igwe, M. N., Yue, S., & Sulimany, H. G. H. (2025). Mind the Tides: A Systematic Review of the Geopolitical Risk Literature. Politics & Policy, 53(3), e70028. https://doi.org/https://doi.org/10.1111/polp.70028
Kilian, L., & Park, C. (2009). The Impact of Oil Price Shocks on The U.S Stock Market. International Economic Review (Philadelphia), 50(4), 1267–1287. https://doi.org/10.1111/j.1468-2354.2009.00568.x
Miranda-Agrippino, S., & Rey, H. (2020). U.S. Monetary Policy and the Global Financial Cycle. The Review of Economic Studies. https://doi.org/10.1093/restud/rdaa019
NguyenHuu, T., & Örsal, D. K. (2024). Geopolitical risks and financial stress in emerging economies. The World Economy, 47(1), 217–237. https://doi.org/https://doi.org/10.1111/twec.13529
Pástor, Ľ., & Veronesi, P. (2013). Political uncertainty and risk premia. Journal of Financial Economics, 110(3), 520–545. https://doi.org/10.1016/j.jfineco.2013.08.007
Rey, H. (2015). Dilemma not Trilemma: The global Financial Cycle and Monetary Policy Independence. In NBER Working Paper Series (p. 21162). National Bureau of Economic Research, Inc. https://doi.org/10.3386/w21162
Setiawan, B. (2020). Does US-China Trade War Matter on ASEAN Stock Market: Event-study Approach. Sriwijaya International Journal of Dynamic Economics and Business (Online), 4(3), 161–174. https://doi.org/10.29259/sijdeb.v4i3.161-74
Stewart, P., Hafezi, P., Lubell, M., & Mills, A. (2026). Iranian leader Khamenei killed in air strikes as U.S., Israel launch attacks. Reuters. https://www.reuters.com/business/aerospace-defense/israel-us-launch-strikes-iran-2026-02-28/
Sungurtekin Hallam, B. (2022). Emerging market responses to external shocks: A cross-country analysis. Economic Modelling, 115, 105948. https://doi.org/https://doi.org/10.1016/j.econmod.2022.105948
Wei, M. (2024). How Global Macroeconomic Uncertainty Affects the Equity Risk Premium. Advances in Economics, Management and Political Sciences. https://doi.org/10.54254/2754-1169/70/20231685
Wu, F. (2019). Stock market integration in East and Southeast Asia: The role of global factors. International Review of Financial Analysis, 67, 101416. https://doi.org/10.1016/j.irfa.2019.101416