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A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach

The global COVID-19 outbreak has created disruptions across all economic sectors. Energy is one of the most severely affected industries. As the global economic outlook deteriorated, oil prices plunged, severely impacting energy industries in most nations. This unprecedented situation motivated us t...

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Main Authors: Bahaludin, Hafizah, Mahamood, Fatin Nur Amirah, Abdullah, Mimi Hafizah, Fauzi, Muhammad Ashraf, Omar, Mawardi
Format: Article
Language:English
Published: IIUM Press 2022
Subjects:
QA Mathematics
Online Access:http://irep.iium.edu.my/105470/1/105470_A%20financial%20network.pdf
http://irep.iium.edu.my/105470/
https://journals.iium.edu.my/ijahs/index.php/IJAHS/issue/view/26
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spelling my.iium.irep.1054702023-07-13T02:14:46Z http://irep.iium.edu.my/105470/ A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach Bahaludin, Hafizah Mahamood, Fatin Nur Amirah Abdullah, Mimi Hafizah Fauzi, Muhammad Ashraf Omar, Mawardi QA Mathematics The global COVID-19 outbreak has created disruptions across all economic sectors. Energy is one of the most severely affected industries. As the global economic outlook deteriorated, oil prices plunged, severely impacting energy industries in most nations. This unprecedented situation motivated us to study what happens to the interconnectedness among energy stock that listed in Bursa Malaysia. Filtering correlation matrices have been proven to be very useful for the study and describe of the underlying interconnectedness structure of complex datasets. The triangulated maximally filtered graph (TMFG) is one of the approaches that construct a network based on the correlation measure in which compatible with the big data. Therefore, the objective of this study was to examine the impact of COVID-19 on the shariah-compliant energy stock in Bursa Malaysia during COVID-19 by using TMFG approach. The data range is from 2019 - 2020. The network was formed for 2019 and 2020, and the centrality measure was computed to investigate the network further. The results indicate that ten out of twenty- six stocks experienced an increase in the number of links because of COVID-19. The energy, infrastructure, equipment, and services subsector dominate the networks and Hibiscus Petroleum Bhd (HIBI) was the most influential stock during COVID-19. The market participant can obtain a thorough overview of the energy market's condition in order to create the portfolio and implement the policy. IIUM Press 2022-11-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/105470/1/105470_A%20financial%20network.pdf Bahaludin, Hafizah and Mahamood, Fatin Nur Amirah and Abdullah, Mimi Hafizah and Fauzi, Muhammad Ashraf and Omar, Mawardi (2022) A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach. International Journal of Allied Health Sciences (IJAHS), 6 (Supplement 1). p. 44. E-ISSN 2600-8491 https://journals.iium.edu.my/ijahs/index.php/IJAHS/issue/view/26
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Bahaludin, Hafizah
Mahamood, Fatin Nur Amirah
Abdullah, Mimi Hafizah
Fauzi, Muhammad Ashraf
Omar, Mawardi
A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach
description The global COVID-19 outbreak has created disruptions across all economic sectors. Energy is one of the most severely affected industries. As the global economic outlook deteriorated, oil prices plunged, severely impacting energy industries in most nations. This unprecedented situation motivated us to study what happens to the interconnectedness among energy stock that listed in Bursa Malaysia. Filtering correlation matrices have been proven to be very useful for the study and describe of the underlying interconnectedness structure of complex datasets. The triangulated maximally filtered graph (TMFG) is one of the approaches that construct a network based on the correlation measure in which compatible with the big data. Therefore, the objective of this study was to examine the impact of COVID-19 on the shariah-compliant energy stock in Bursa Malaysia during COVID-19 by using TMFG approach. The data range is from 2019 - 2020. The network was formed for 2019 and 2020, and the centrality measure was computed to investigate the network further. The results indicate that ten out of twenty- six stocks experienced an increase in the number of links because of COVID-19. The energy, infrastructure, equipment, and services subsector dominate the networks and Hibiscus Petroleum Bhd (HIBI) was the most influential stock during COVID-19. The market participant can obtain a thorough overview of the energy market's condition in order to create the portfolio and implement the policy.
format Article
author Bahaludin, Hafizah
Mahamood, Fatin Nur Amirah
Abdullah, Mimi Hafizah
Fauzi, Muhammad Ashraf
Omar, Mawardi
author_facet Bahaludin, Hafizah
Mahamood, Fatin Nur Amirah
Abdullah, Mimi Hafizah
Fauzi, Muhammad Ashraf
Omar, Mawardi
author_sort Bahaludin, Hafizah
title A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach
title_short A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach
title_full A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach
title_fullStr A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach
title_full_unstemmed A financial network for energy sector of Bursa Malaysia during covid-19 by using triangular maximally filtered graph approach
title_sort financial network for energy sector of bursa malaysia during covid-19 by using triangular maximally filtered graph approach
publisher IIUM Press
publishDate 2022
url http://irep.iium.edu.my/105470/1/105470_A%20financial%20network.pdf
http://irep.iium.edu.my/105470/
https://journals.iium.edu.my/ijahs/index.php/IJAHS/issue/view/26
_version_ 1772810687761874944
score 13.211869

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