Do COVID-19 containment policies influence equity market returns? Evidence from the ASEAN-5
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DOIhttp://dx.doi.org/10.21511/imfi.23(2).2026.32
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Article InfoVolume 23 2026, Issue #2, pp. 442–459
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Type of the article: Research Article
Abstract
This study investigates the short- and long-term effects of the COVID-19 pandemic on ASEAN-5 stock markets, Malaysia, Indonesia, Singapore, Thailand, and the Philippines, emphasizing differences between cyclical and non-cyclical sectors. It aims to evaluate how effectively these emerging markets are handling pandemic-related information in a context of extreme uncertainty. The study employs the event study and Buy-and-Hold Abnormal Return (BHAR) methodologies for the year 2020. The finding indicates asymmetric market responses across the ASEAN-5. In the short term, Malaysia (–0.56%), Indonesia (–8.35%), and Singapore (–0.42%) experienced significant declines in cumulative abnormal returns (CAR) (–1,1). Long-term results for 1 to 6 months show gradual recovery in Malaysia (6.97%), Indonesia (5.13%), and Singapore (7.65%). Sectoral analysis reveals that Malaysia’s financial sector (FIN) posted CAR of three days (−1.68%) (p < 0.01) and five days (−3.18%) (p < 0.10). Next comes Indonesia’s cyclical sector, the transportation sector’s three-day (−9.40%) and five-day (21.91%) CAR (both p < 0.01). For Singapore’s mineral resources (MR), the two-day (−1.74%) and seven-day (−2.91%) CARs are statistically significant at least at 10%. In the Philippines, the sectoral reaction was −0.94% to −2.44% over two and seven days for the financial (FIN) sector; in Thailand, the financial (FIN) and utilities (UTI) sectors had CAR of −2.26% over three days and −4.58% over three days, respectively. These findings support the semi-strong form of market efficiency, indicating temporary deviations in behavior. The paper provides a comprehensive review of market efficiency in systemic crises and new insights into sector resilience and policy-driven economic recovery in developing countries.
Acknowledgment
This paper used Generative Artificial Intelligence (AI) such as ChatGPT and Co-Pilot to improve the language and the core idea.
- Keywords
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JEL Classification (Paper profile tab)G14, G53
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References32
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Tables4
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Figures0
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- Table 1. CAR results among ASEAN-5 countries
- Table 2. Long-run abnormal return (buy-and-hold return)
- Table A1. CAR assessment results in different sectors among ASEAN-5 countries
- Table A2. BHAR results in different sectors among ASEAN-5 countries
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