Network topology of foreign exchange rate

In this paper we use a network topology approach to examine the interrelationship of 55 world currencies which is based on correlation analysis.With this point of view, those relationships can be measured by a correlation structure among currencies.To analyse that network, we filter the important in...

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Main Authors: Sharif, Shamshuritawati, Yusoff, Nur Syahidah, Djauhari, Maman A.
Format: Article
Language:English
Published: Canadian Center of Science and Education 2012
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/12534/1/21023-71305-2-PB.pdf
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author Sharif, Shamshuritawati
Yusoff, Nur Syahidah
Djauhari, Maman A.
author_facet Sharif, Shamshuritawati
Yusoff, Nur Syahidah
Djauhari, Maman A.
author_sort Sharif, Shamshuritawati
collection UUM
description In this paper we use a network topology approach to examine the interrelationship of 55 world currencies which is based on correlation analysis.With this point of view, those relationships can be measured by a correlation structure among currencies.To analyse that network, we filter the important information contained therein by using minimum spanning tree, and we interpret it by using a centrality measures. This topology will gives us a useful guide to understand their behaviour and to determine the dominance currency in the network as part of a complex network.The results show that HKD-Hong Kong Dollar is the most dominance currencies, followed by in order of importance; SGD-Singapore Dollar, USD-US Dollar, SAR-Saudi Riyal, and TWD-New Taiwan Dollar.
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spelling uum-125342014-11-04T08:55:50Z https://repo.uum.edu.my/id/eprint/12534/ Network topology of foreign exchange rate Sharif, Shamshuritawati Yusoff, Nur Syahidah Djauhari, Maman A. QA76 Computer software In this paper we use a network topology approach to examine the interrelationship of 55 world currencies which is based on correlation analysis.With this point of view, those relationships can be measured by a correlation structure among currencies.To analyse that network, we filter the important information contained therein by using minimum spanning tree, and we interpret it by using a centrality measures. This topology will gives us a useful guide to understand their behaviour and to determine the dominance currency in the network as part of a complex network.The results show that HKD-Hong Kong Dollar is the most dominance currencies, followed by in order of importance; SGD-Singapore Dollar, USD-US Dollar, SAR-Saudi Riyal, and TWD-New Taiwan Dollar. Canadian Center of Science and Education 2012 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12534/1/21023-71305-2-PB.pdf Sharif, Shamshuritawati and Yusoff, Nur Syahidah and Djauhari, Maman A. (2012) Network topology of foreign exchange rate. Modern Applied Science, 6 (11). pp. 35-43. ISSN 1913-1844 http://dx.doi.org/10.5539/mas.v6n11p35 doi:10.5539/mas.v6n11p35 doi:10.5539/mas.v6n11p35
spellingShingle QA76 Computer software
Sharif, Shamshuritawati
Yusoff, Nur Syahidah
Djauhari, Maman A.
Network topology of foreign exchange rate
title Network topology of foreign exchange rate
title_full Network topology of foreign exchange rate
title_fullStr Network topology of foreign exchange rate
title_full_unstemmed Network topology of foreign exchange rate
title_short Network topology of foreign exchange rate
title_sort network topology of foreign exchange rate
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/12534/1/21023-71305-2-PB.pdf
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