IIUM Repository

A network analysis of shariah-compliant stocks across global financial crisis: a case of Malaysia

Mahamood, Fatin Nur Amirah and Bahaludin, Hafizah and Abdullah, Mimi Hafizah (2019) A network analysis of shariah-compliant stocks across global financial crisis: a case of Malaysia. Modern Applied Science, 13 (7). pp. 80-93. ISSN 1913-1844 E-ISSN 1913-1852

PDF - Published Version
Download (1MB) | Preview


minimum spanning tree (MST) technique is used to visualize the structure. This paper investigates the topological structure of 125 shariah-compliant stocks traded in Bursa Malaysia from the year 2000 until 2017. Financial networks of the shariah-compliant stocks are constructed using MST for three duration periods namely the precrisis, during crisis and post-crisis. To determine the important stocks in the networks, centrality measures are applied such as degree centrality, betweenness centrality, closeness centrality and eigenvector centrality. Lastly, overall centrality measures are computed to identify the overall characteristic of each node. The findings showed that, KUB Malaysia Berhad was the most influential stock in the pre-crisis and crisis periods. While, MK Land Holdings was the main stock in the post-crisis network.

Item Type: Article (Journal)
Additional Information: 9007/73553
Uncontrolled Keywords: financial network, minimum spanning tree (MST), centrality measures, shariah-compliant stocks
Subjects: H Social Sciences > HG Finance > HG4001 Financial management. Business finance. Corporation finance.
Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science
Kulliyyah of Science > Department of Computational and Theoretical Sciences
Depositing User: Ms Mimi Hafizah Abdullah
Date Deposited: 15 Aug 2019 09:49
Last Modified: 23 Dec 2019 15:03
URI: http://irep.iium.edu.my/id/eprint/73553

Actions (login required)

View Item View Item


Downloads per month over past year