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Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia

An interrelationship between each of the specified Bursa Malaysia’s securities can be calculated using the correlation measure. However, there were a considerable number of these securities, thus, making it difficult to visualise their correlation. To overcome this issue, this association could be i...

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Main Authors: Hafizah, Bahaludin, Fatin Nur Amirah, Mahamood, Mimi Hafizah, Abdullah, Muhammad Ashraf, Fauzi, Mawardi, Omar
Format: Article
Language:English
Published: UPM 2023
Subjects:
HD28 Management. Industrial Management
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/40872/1/Centrality%20Measures%20for%20Shariah-Compliant%20Securities%20Listed%20On%20Bursa%20Malaysia.pdf
http://umpir.ump.edu.my/id/eprint/40872/
https://myjms.mohe.gov.my/index.php/dismath/article/view/22870
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spelling my.ump.umpir.408722024-04-03T06:53:20Z http://umpir.ump.edu.my/id/eprint/40872/ Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia Hafizah, Bahaludin Fatin Nur Amirah, Mahamood Mimi Hafizah, Abdullah Muhammad Ashraf, Fauzi Mawardi, Omar HD28 Management. Industrial Management QA Mathematics An interrelationship between each of the specified Bursa Malaysia’s securities can be calculated using the correlation measure. However, there were a considerable number of these securities, thus, making it difficult to visualise their correlation. To overcome this issue, this association could be illustrated as a single network based on its correlation input. This research constructed a network between the securities listed on Bursa Malaysia, which centred on the Shariah-compliant stocks. Seven centrality measures, such as degree, betweenness, closeness, eigenvector, eccentricity, strength, and average of weight centrality, were used to determine the primary node of the network. The analysis utilised one hundred and 21 stocks from 2008 to 2018, which was divided into two periods, namely, during and after the 2008 global financial crisis (GFC). Additionally, the principal component analysis (PCA) was adopted to determine the main hub’s transformations during these two intervals. Finally, this study provided the market participants with valuable information established in a network for the portfolio selection strategy. UPM 2023 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/40872/1/Centrality%20Measures%20for%20Shariah-Compliant%20Securities%20Listed%20On%20Bursa%20Malaysia.pdf Hafizah, Bahaludin and Fatin Nur Amirah, Mahamood and Mimi Hafizah, Abdullah and Muhammad Ashraf, Fauzi and Mawardi, Omar (2023) Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia. Menemui Matematik (Discovering Mathematics), 45 (1). pp. 85-103. ISSN 0126-9003. (Published) https://myjms.mohe.gov.my/index.php/dismath/article/view/22870
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HD28 Management. Industrial Management
QA Mathematics
spellingShingle HD28 Management. Industrial Management
QA Mathematics
Hafizah, Bahaludin
Fatin Nur Amirah, Mahamood
Mimi Hafizah, Abdullah
Muhammad Ashraf, Fauzi
Mawardi, Omar
Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia
description An interrelationship between each of the specified Bursa Malaysia’s securities can be calculated using the correlation measure. However, there were a considerable number of these securities, thus, making it difficult to visualise their correlation. To overcome this issue, this association could be illustrated as a single network based on its correlation input. This research constructed a network between the securities listed on Bursa Malaysia, which centred on the Shariah-compliant stocks. Seven centrality measures, such as degree, betweenness, closeness, eigenvector, eccentricity, strength, and average of weight centrality, were used to determine the primary node of the network. The analysis utilised one hundred and 21 stocks from 2008 to 2018, which was divided into two periods, namely, during and after the 2008 global financial crisis (GFC). Additionally, the principal component analysis (PCA) was adopted to determine the main hub’s transformations during these two intervals. Finally, this study provided the market participants with valuable information established in a network for the portfolio selection strategy.
format Article
author Hafizah, Bahaludin
Fatin Nur Amirah, Mahamood
Mimi Hafizah, Abdullah
Muhammad Ashraf, Fauzi
Mawardi, Omar
author_facet Hafizah, Bahaludin
Fatin Nur Amirah, Mahamood
Mimi Hafizah, Abdullah
Muhammad Ashraf, Fauzi
Mawardi, Omar
author_sort Hafizah, Bahaludin
title Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia
title_short Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia
title_full Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia
title_fullStr Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia
title_full_unstemmed Centrality Measures for Shariah-Compliant Securities Listed On Bursa Malaysia
title_sort centrality measures for shariah-compliant securities listed on bursa malaysia
publisher UPM
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40872/1/Centrality%20Measures%20for%20Shariah-Compliant%20Securities%20Listed%20On%20Bursa%20Malaysia.pdf
http://umpir.ump.edu.my/id/eprint/40872/
https://myjms.mohe.gov.my/index.php/dismath/article/view/22870
_version_ 1822924260816977920
score 13.244413

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