A minimum spanning tree stock market analysis of Malaysia technology companies
In this study, the topological structure of Malaysian technology companies stock market was in-vestigated for a one-month period, and a three-month period, before and after the 15th Malaysian General Election. The collected data is the daily closing prices of Malaysia’s top 20 most ac-tive companies...
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia (UKM Press)
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117941/ http://psasir.upm.edu.my/id/eprint/117941/1/117941.pdf |
| _version_ | 1848867385995427840 |
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| author | Zulrushdi, Puteri Nur Qistina Megat Bahaludin, Hafizah Ibrahim, Siti Nur Iqmal |
| author_facet | Zulrushdi, Puteri Nur Qistina Megat Bahaludin, Hafizah Ibrahim, Siti Nur Iqmal |
| author_sort | Zulrushdi, Puteri Nur Qistina Megat |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this study, the topological structure of Malaysian technology companies stock market was in-vestigated for a one-month period, and a three-month period, before and after the 15th Malaysian General Election. The collected data is the daily closing prices of Malaysia’s top 20 most ac-tive companies based on the volume traded in the list of technology companies. The minimum spanning tree was used to construct the network via Kruskal’s algorithm, and the centrality measures of the stocks, such as degree, betweenness, closeness, and eigenvector, were measured to identify influential stocks. The results show that the connection between stocks in one and three months prior to the election is inconsistent, where variations were exhibited during both periods. Based on centrality measures of degree, betweenness, closeness, and eigenvector, the analysis reveals that over a one-month period, THET, AWAN, GREA, and JHMC consistently rank among the top five most influential stocks before the election, while MMST, MYEG, and GREA dominate as the most influential stocks after the election. |
| first_indexed | 2025-11-15T14:35:40Z |
| format | Article |
| id | upm-117941 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:35:40Z |
| publishDate | 2024 |
| publisher | Penerbit Universiti Kebangsaan Malaysia (UKM Press) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1179412025-06-17T04:20:07Z http://psasir.upm.edu.my/id/eprint/117941/ A minimum spanning tree stock market analysis of Malaysia technology companies Zulrushdi, Puteri Nur Qistina Megat Bahaludin, Hafizah Ibrahim, Siti Nur Iqmal In this study, the topological structure of Malaysian technology companies stock market was in-vestigated for a one-month period, and a three-month period, before and after the 15th Malaysian General Election. The collected data is the daily closing prices of Malaysia’s top 20 most ac-tive companies based on the volume traded in the list of technology companies. The minimum spanning tree was used to construct the network via Kruskal’s algorithm, and the centrality measures of the stocks, such as degree, betweenness, closeness, and eigenvector, were measured to identify influential stocks. The results show that the connection between stocks in one and three months prior to the election is inconsistent, where variations were exhibited during both periods. Based on centrality measures of degree, betweenness, closeness, and eigenvector, the analysis reveals that over a one-month period, THET, AWAN, GREA, and JHMC consistently rank among the top five most influential stocks before the election, while MMST, MYEG, and GREA dominate as the most influential stocks after the election. Penerbit Universiti Kebangsaan Malaysia (UKM Press) 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/117941/1/117941.pdf Zulrushdi, Puteri Nur Qistina Megat and Bahaludin, Hafizah and Ibrahim, Siti Nur Iqmal (2024) A minimum spanning tree stock market analysis of Malaysia technology companies. Journal of Quality Measurement and Analysis, 20 (3). pp. 153-162. ISSN 2600-8602 https://www.ukm.my/jqma/wp-content/uploads/2024/11/Paper_11.pdf 10.17576/jqma.2003.2024.11 |
| spellingShingle | Zulrushdi, Puteri Nur Qistina Megat Bahaludin, Hafizah Ibrahim, Siti Nur Iqmal A minimum spanning tree stock market analysis of Malaysia technology companies |
| title | A minimum spanning tree stock market analysis of Malaysia technology companies |
| title_full | A minimum spanning tree stock market analysis of Malaysia technology companies |
| title_fullStr | A minimum spanning tree stock market analysis of Malaysia technology companies |
| title_full_unstemmed | A minimum spanning tree stock market analysis of Malaysia technology companies |
| title_short | A minimum spanning tree stock market analysis of Malaysia technology companies |
| title_sort | minimum spanning tree stock market analysis of malaysia technology companies |
| url | http://psasir.upm.edu.my/id/eprint/117941/ http://psasir.upm.edu.my/id/eprint/117941/ http://psasir.upm.edu.my/id/eprint/117941/ http://psasir.upm.edu.my/id/eprint/117941/1/117941.pdf |