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...

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Main Authors: Shamshuritawati, Sharif, Nur Syahidah, Yusoff, Maman Abdurachman, Djauhari
Format: Article
Language:English
Published: Canadian Center of Science and Education 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6835/1/Network_Topology_of_Foreign_Exchange_Rate.pdf
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author Shamshuritawati, Sharif
Nur Syahidah, Yusoff
Maman Abdurachman, Djauhari
author_facet Shamshuritawati, Sharif
Nur Syahidah, Yusoff
Maman Abdurachman, Djauhari
author_sort Shamshuritawati, Sharif
collection UMP
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 UMPir68352016-06-21T03:00:31Z http://umpir.ump.edu.my/id/eprint/6835/ Network Topology of Foreign Exchange Rate Shamshuritawati, Sharif Nur Syahidah, Yusoff Maman Abdurachman, Djauhari HD Industries. Land use. Labor 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 http://umpir.ump.edu.my/id/eprint/6835/1/Network_Topology_of_Foreign_Exchange_Rate.pdf Shamshuritawati, Sharif and Nur Syahidah, Yusoff and Maman Abdurachman, Djauhari (2012) Network Topology of Foreign Exchange Rate. Modern Applied Science, 6 (11). pp. 36-43. ISSN 1913-1852 . (Published) http://www.ccsenet.org/journal/index.php/mas/article/view/21023/14089 10.5539/mas.v6n11p35
spellingShingle HD Industries. Land use. Labor
Shamshuritawati, Sharif
Nur Syahidah, Yusoff
Maman Abdurachman, Djauhari
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 HD Industries. Land use. Labor
url http://umpir.ump.edu.my/id/eprint/6835/1/Network_Topology_of_Foreign_Exchange_Rate.pdf
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AT mamanabdurachmandjauhari networktopologyofforeignexchangerate