DC FieldValueLanguage
dc.contributor.authorSchünemann, Jan-Hendrik-
dc.contributor.authorRibberink, Natalia-
dc.contributor.authorKatenka, Natallia-
dc.date.accessioned2020-11-02T10:29:02Z-
dc.date.available2020-11-02T10:29:02Z-
dc.date.issued2020-06-10-
dc.identifier.issn1029-3132en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/9922-
dc.description.abstract© 2019 College of Management, National Cheng Kung University Driven by the advancement of technology, emergence of financial institutional bodies superseding geographical constraints, as well as cross-regional liberalization paired with the removal of restrictions, global stock markets tend to become increasingly interconnected. On the one hand, it is believed that the globalization has made stock markets more efficient and alleviated the inherent risk thereof, resulting from greater access to financial assets, and thus the possibility to diversify therein. On the other hand, this may, however, lead to increased stock price volatility and trading instability, due to the major stock markets being increasingly correlated. Increasing interconnectedness between companies leads to the assumption that stock prices especially depend on the business sector and industry in which they operate. Thus, the interest in correlation network models is on the rise. However, despite the large number of literature providing network models, there is still uncertainty about their validity as well as true predictive power. Thus, this paper aims to identify stock return correlations between companies of selected industries. The quantitative analysis of historical daily stock returns is encompassing the correlation of the Japanese and Chinese corporate data from pharmaceutical, energy and banking sectors for the time period from 2009 until 2015 with relevant external events. The results show that the Japanese market reacts strongly to specific events during the observation and does not affect the Chinese market in any way, while events relating to the Chinese market have an immediate impact on the Japanese market behaviour.en
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofAsia Pacific Management reviewen_US
dc.subjectChinaen_US
dc.subjectCorrelation-based networken_US
dc.subjectJapanen_US
dc.subjectVolatilityen_US
dc.subjectNetwork visualisationen_US
dc.subjectStock marketen_US
dc.subject.ddc650: Managementen_US
dc.titleJapanese and Chinese stock market behaviour in comparison : an analysis of dynamic networksen
dc.typeArticleen_US
dc.description.versionPeerRevieweden_US
openaire.rightshttp://purl.org/coar/access_right/c_14cben_US
tuhh.container.endpage110en_US
tuhh.container.issue2en_US
tuhh.container.startpage99en_US
tuhh.container.volume25en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Wirtschaften_US
tuhh.publication.instituteFakultät Wirtschaft und Sozialesen_US
tuhh.publisher.doi10.1016/j.apmrv.2019.10.002-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.type.casraiJournal Article-
dc.type.diniarticle-
dc.type.driverarticle-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.creatorGNDSchünemann, Jan-Hendrik-
item.creatorGNDRibberink, Natalia-
item.creatorGNDKatenka, Natallia-
item.fulltextNo Fulltext-
item.creatorOrcidSchünemann, Jan-Hendrik-
item.creatorOrcidRibberink, Natalia-
item.creatorOrcidKatenka, Natallia-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypeArticle-
crisitem.author.deptDepartment Wirtschaft-
crisitem.author.deptDepartment Wirtschaft-
crisitem.author.orcid0000-0002-2753-9845-
crisitem.author.parentorgFakultät Wirtschaft und Soziales-
crisitem.author.parentorgFakultät Wirtschaft und Soziales-
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