Comparing the Impacts of Past Major Events on the Network Topology Structure of the Malaysian Consumer Products and Services Sector

Dellow, Alyssa April; Ismail, Munira; Bahaludin, Hafizah; Razak, Fatimah Abdul

doi:10.1007/s13132-024-02038-0

J Knowl Econ

2024

DOI: 10.1007/s13132-024-02038-0

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Comparing the Impacts of Past Major Events on the Network Topology Structure of the Malaysian Consumer Products and Services Sector

Alyssa April Dellow,

Munira Ismail,

Hafizah Bahaludin

et al.

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Cited by 2 publications

References 57 publications

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Unsupervised learning modeling of the impact of Black Swan events on financial network reconfiguration: New insights from the COVID-19 outbreak and the Russia-Ukraine war

Siudak,

Świetlik

2025

Physica A: Statistical Mechanics and its Applications

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Unsupervised learning modeling of the impact of Black Swan events on financial network reconfiguration: New insights from the COVID-19 outbreak and the Russia-Ukraine war

Siudak,

Świetlik

2025

Physica A: Statistical Mechanics and its Applications

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Network, correlation, and community structure of the financial sector of Bursa Malaysia before, during, and after COVID-19

Bahari,

Bahaludin,

Ismail

et al. 2024

DSFE

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<p>COVID-19 triggered a worldwide economic decline and raised concerns regarding its economic consequences on stock markets across the globe, notably on the Malaysian stock market. We examined how COVID-19 impacted Malaysia's financial market using correlation and network analysis. We found a rise in correlations between stocks during the pandemic, suggesting greater interdependence. To visualize this, we created networks for pre-pandemic, during-pandemic, and post-pandemic periods. Additionally, we built a network for the during-pandemic period with a specific threshold corresponding to pre- and post-pandemic network density. The networks during the pandemic showed increased connectivity and only contained positive correlations, reflecting synchronized stock movements. Last, we analyzed the networks' modularity, revealing highest modularity during the pandemic, which suggests stronger yet risk-prone communities.</p>

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Comparing the Impacts of Past Major Events on the Network Topology Structure of the Malaysian Consumer Products and Services Sector

Cited by 2 publications

References 57 publications

Unsupervised learning modeling of the impact of Black Swan events on financial network reconfiguration: New insights from the COVID-19 outbreak and the Russia-Ukraine war

Unsupervised learning modeling of the impact of Black Swan events on financial network reconfiguration: New insights from the COVID-19 outbreak and the Russia-Ukraine war

Network, correlation, and community structure of the financial sector of Bursa Malaysia before, during, and after COVID-19

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