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Cited 34 time in webofscience Cited 36 time in scopus
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dc.contributor.authorJung, WS-
dc.contributor.authorOkyu Kwon-
dc.contributor.authorFengzhong Wang-
dc.contributor.authorTaisei Kaizoji-
dc.contributor.authorHie-Tae Moon-
dc.contributor.authorH. Eugene Stanley-
dc.date.accessioned2016-04-01T02:29:43Z-
dc.date.available2016-04-01T02:29:43Z-
dc.date.created2010-12-20-
dc.date.issued2008-01-15-
dc.identifier.issn0378-4371-
dc.identifier.other2008-OAK-0000022502-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/25238-
dc.description.abstractWe investigated the network structures of the Japanese stock market using the minimum spanning tree. We defined a grouping coefficient to test the validity of the conventional grouping by industrial categories, and found a decreasing in trend for the coefficient. This phenomenon supports the increasing external influences on the market due to globalization. To reduce this influence, we used S&P500 index as the international market and removed its correlation with every stock. We found stronger a grouping in this measurement when compared to the original analysis, which agrees with our assumption that the international market influences to the Japanese market. (C) 2007 Elsevier B.V. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS-
dc.subjectcorrelation-based clustering-
dc.subjectemerging market-
dc.subjectminimum spanning tree-
dc.subjecteconophysics-
dc.subjectSTOCK-MARKET-
dc.subjectFINANCIAL-MARKETS-
dc.subjectRETURN-
dc.subjectFLUCTUATIONS-
dc.subjectEFFICIENCY-
dc.subjectNETWORKS-
dc.subjectEXCHANGE-
dc.subjectSCALE-
dc.subjectLAW-
dc.titleGroup dynamics of the Japanese market-
dc.typeArticle-
dc.contributor.college기술경영 대학원 과정-
dc.identifier.doi10.1016/J.PHYSA.2007.09.022-
dc.author.googleJung, WS-
dc.author.googleKwon, O-
dc.author.googleWang, F-
dc.author.googleKaizoji, T-
dc.author.googleMoon, HT-
dc.author.googleStanley, HE-
dc.relation.volume387-
dc.relation.issue2-3-
dc.relation.startpage537-
dc.relation.lastpage542-
dc.contributor.id10150087-
dc.relation.journalPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.387, no.2-3, pp.537 - 542-
dc.identifier.wosid000251896800020-
dc.date.tcdate2019-02-01-
dc.citation.endPage542-
dc.citation.number2-3-
dc.citation.startPage537-
dc.citation.titlePHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS-
dc.citation.volume387-
dc.contributor.affiliatedAuthorJung, WS-
dc.identifier.scopusid2-s2.0-36448969799-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc30-
dc.description.scptc29*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordPlusSTOCK-
dc.subject.keywordPlusRETURN-
dc.subject.keywordPlusFLUCTUATIONS-
dc.subject.keywordPlusEFFICIENCY-
dc.subject.keywordPlusSCALE-
dc.subject.keywordPlusLAW-
dc.subject.keywordAuthorcorrelation-based clustering-
dc.subject.keywordAuthoremerging market-
dc.subject.keywordAuthorminimum spanning tree-
dc.subject.keywordAuthoreconophysics-
dc.relation.journalWebOfScienceCategoryPhysics, Multidisciplinary-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPhysics-

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