Deciphering the Impact of COVID-19 on Korean Sector ETFs: Insights from an ARIMAX and Granger Causality

The COVID-19 pandemic caused major disruptions to worldwide financial markets, which resulted in market instability and unpredictability. South Korean investors used sector-specific exchange-traded funds (ETFs) to handle the market challenges. This research examines the connection between COVID-19 statistics, including total confirmed cases and deaths, and Korean sector ETF market performance. The research uses the ARIMAX model to evaluate how external variables affect ETF price volatility. The research uses Granger causality tests to determine the direction of relationships between pandemic metrics and sectoral performance, while K-means clustering identifies patterns across different sectors. The analysis reveals significant statistical connections between pandemic disruptions and three sectors, including communication services, healthcare, and IT. The research shows that COVID-19 metrics strongly affected the performance of sector-specific ETFs throughout the analyzed time period. The research establishes a basis for additional studies about external shock effects on financial instruments and delivers valuable information to investors and policymakers who need to manage global crisis risks.

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Publication Details

Journal
Systems
Published
2025-08-09
DOI
https://doi.org/10.3390/systems13080678
Citations
1
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
3.13
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article

Deciphering the Impact of COVID-19 on Korean Sector ETFs: Insights from an ARIMAX and Granger Causality

Suin Lee, Woo Chang Kim, Ki Soon Shin, Insu Choi et al.
1 citations
Systems
COVID-19 Pandemic Impacts
3.13
article

Deciphering the Impact of COVID-19 on Korean Sector ETFs: Insights from an ARIMAX and Granger Causality

Suin Lee, Woo Chang Kim, Ki Soon Shin, Insu Choi, Tae Kyoung Lee, Sungsu Park
article en
1 citations

Abstract

The COVID-19 pandemic caused major disruptions to worldwide financial markets, which resulted in market instability and unpredictability. South Korean investors used sector-specific exchange-traded funds (ETFs) to handle the market challenges. This research examines the connection between COVID-19 statistics, including total confirmed cases and deaths, and Korean sector ETF market performance. The research uses the ARIMAX model to evaluate how external variables affect ETF price volatility. The research uses Granger causality tests to determine the direction of relationships between pandemic metrics and sectoral performance, while K-means clustering identifies patterns across different sectors. The analysis reveals significant statistical connections between pandemic disruptions and three sectors, including communication services, healthcare, and IT. The research shows that COVID-19 metrics strongly affected the performance of sector-specific ETFs throughout the analyzed time period. The research establishes a basis for additional studies about external shock effects on financial instruments and delivers valuable information to investors and policymakers who need to manage global crisis risks.

SystemsVol. 13(8)
Korea Advanced Institute of Science and Technology (KR), Kyung Hee University (KR)
Good health and well-being
Openalex Percentile: Top 7%
COVID-19 Pandemic Impacts
3.13
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Deciphering the Impact of COVID-19 on Korean Sector ETFs: Insights from an ARIMAX and Granger Causality — Suin Lee, Woo Chang Kim, et al. · Systems (2025) | TGRS Research Map | TGRS