Assessing the impact of the coronavirus pandemic and non-pharmaceutical interventions on Bursa Malaysia KLCI Index using GARCH-M (1,1) models

This study aims to explore the impact of coronavirus pandemic-related variables and non-pharmaceutical interventions on fluctuations in the Malaysian stock market during the period from January 7, 2020, to March 31, 2021. By employing GARCH-M (1,1) family models (GARCH-M, EGARCH-M, and PGARCH-M), the study seeks to understand the intricate dynamics of market volatility amidst the pandemic and associated interventions. The findings suggest that while past market volatility and conditional variance continue to influence current market fluctuations, their effects have diminished over time during the study period. Additionally, the EGARCH-M (1,1) model reveals a leverage effect, indicating increased market volatility following negative news compared to positive news. Interestingly, the EGARCH-M (1,1) model emerges as the optimal choice for accurately capturing data dynamics. Conversely, the PGARCH-M (1,1) model does not exhibit a statistically significant leverage effect. These insights contribute to a better understanding of market behavior during crises, informing future research and risk management strategies. AcknowledgmentThe authors are grateful to the Middle East University, Amman, Jordan, for the full financial support granted to this research paper.

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Publication Details

Journal
Investment Management and Financial Innovations
Published
2024-08-12
DOI
https://doi.org/10.21511/imfi.21(3).2024.19
Citations
5
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
5.65
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article

Assessing the impact of the coronavirus pandemic and non-pharmaceutical interventions on Bursa Malaysia KLCI Index using GARCH-M (1,1) models

Noor Aldeen Kassem Al-Alawnh, Ahmad Marei, Muzafar Shah Habibullah, Sajead Mowafaq Alshdaifat
5 citations
Investment Management and Financial Innovations
Market Dynamics and Volatility
5.65
article

Assessing the impact of the coronavirus pandemic and non-pharmaceutical interventions on Bursa Malaysia KLCI Index using GARCH-M (1,1) models

Noor Aldeen Kassem Al-Alawnh, Ahmad Marei, Muzafar Shah Habibullah, Sajead Mowafaq Alshdaifat
article en
5 citations

Abstract

This study aims to explore the impact of coronavirus pandemic-related variables and non-pharmaceutical interventions on fluctuations in the Malaysian stock market during the period from January 7, 2020, to March 31, 2021. By employing GARCH-M (1,1) family models (GARCH-M, EGARCH-M, and PGARCH-M), the study seeks to understand the intricate dynamics of market volatility amidst the pandemic and associated interventions. The findings suggest that while past market volatility and conditional variance continue to influence current market fluctuations, their effects have diminished over time during the study period. Additionally, the EGARCH-M (1,1) model reveals a leverage effect, indicating increased market volatility following negative news compared to positive news. Interestingly, the EGARCH-M (1,1) model emerges as the optimal choice for accurately capturing data dynamics. Conversely, the PGARCH-M (1,1) model does not exhibit a statistically significant leverage effect. These insights contribute to a better understanding of market behavior during crises, informing future research and risk management strategies. AcknowledgmentThe authors are grateful to the Middle East University, Amman, Jordan, for the full financial support granted to this research paper.

Investment Management and Financial InnovationsVol. 21(3)
Universiti Putra Malaysia (MY), Al al-Bayt University (JO), Department of Statistics Malaysia (MY), College of Accounting (SI), Yarmouk University (JO), Middle East University (JO)
Good health and well-being
Openalex Percentile: Top 4%
Market Dynamics and Volatility
5.65
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