Journals Information
Mathematics and Statistics Vol. 7(4A), pp. 1 - 8
DOI: 10.13189/ms.2019.070701
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The Investigation on the Impact of Financial Crisis on Bursa Malaysia Using Minimal Spanning Tree
Hafizah Bahaludin 1, Mimi Hafizah Abdullah 1,*, Lam Weng Siew 2,3, Lam Weng Hoe 2,3
1 Department of Computational and Theoretical Sciences, International Islamic University Malaysia, Malaysia
2 Department of Physical and Mathematical Science, Universiti Tunku Abdul Rahman, Malaysia
3 Centre for Mathematical Sciences, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Malaysia
ABSTRACT
In recent years, there has been a growing interest in financial network. The financial network helps to visualize the complex relationship between stocks traded in the market. This paper investigates the stock market network in Bursa Malaysia during the 2008 global financial crisis. The financial network is based on the top hundred companies listed on Bursa Malaysia. Minimal spanning tree (MST) is employed to construct the financial network and uses cross-correlation as an input. The impact of the global financial crisis on the companies is evaluated using centrality measurements such as degree, betweenness, closeness and eigenvector centrality. The results indicate that there are some changes on the linkages between securities after the financial crisis, that can have some significant effect in investment decision making.
KEYWORDS
Financial Network, Minimal Spanning Tree, Centrality Measures
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Hafizah Bahaludin , Mimi Hafizah Abdullah , Lam Weng Siew , Lam Weng Hoe , "The Investigation on the Impact of Financial Crisis on Bursa Malaysia Using Minimal Spanning Tree," Mathematics and Statistics, Vol. 7, No. 4A, pp. 1 - 8, 2019. DOI: 10.13189/ms.2019.070701.
(b). APA Format:
Hafizah Bahaludin , Mimi Hafizah Abdullah , Lam Weng Siew , Lam Weng Hoe (2019). The Investigation on the Impact of Financial Crisis on Bursa Malaysia Using Minimal Spanning Tree. Mathematics and Statistics, 7(4A), 1 - 8. DOI: 10.13189/ms.2019.070701.