Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Co-movements between Shanghai Composite Index and some fund sectors in China

Full metadata record
DC Field Value Language
dc.contributor.authorWang, Jian-
dc.contributor.authorShao, Wei-
dc.contributor.authorMa, Chenmin-
dc.contributor.authorChen, Wenbing-
dc.contributor.authorKim, Junseok-
dc.date.accessioned2021-11-17T08:40:20Z-
dc.date.available2021-11-17T08:40:20Z-
dc.date.created2021-08-30-
dc.date.issued2021-07-01-
dc.identifier.issn0378-4371-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/127732-
dc.description.abstractIn this article, we analyzed the cross-correlations between Shanghai Composite Index (SSEC) and some fund sectors in China. Four high-volume fund sectors such as finance, medicine, new energy, and consumption sectors were investigated. Multifractal Cross-Correlation Analysis (MFCCA) approach was conducted for the empirical researches of the long-range correlations for time series pairs. The obtained multifractal characteristics showed that the finance sector achieved the highest persistence of cross-correlations, then the new energy, consumption, and medicine sector. Furthermore, the Delta lambda of finance sector is the greatest among other sectors, which indicated that the multifractality of cross-correlations between SSEC and finance sector was the strongest, and then the medicine sector has the weakest multifractality of cross-correlations. In addition, we utilized one-tailed Student's t-test to further evaluate the multifractality of cross-correlations, the results verified our conclusion. (C) 2021 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.subjectMULTIFRACTAL ANALYSIS-
dc.subjectCROSS-CORRELATIONS-
dc.subjectMF-DFA-
dc.subjectMARKETS-
dc.subjectUS-
dc.subjectEFFICIENCY-
dc.subjectPROPERTY-
dc.titleCo-movements between Shanghai Composite Index and some fund sectors in China-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Junseok-
dc.identifier.doi10.1016/j.physa.2021.125981-
dc.identifier.scopusid2-s2.0-85104083542-
dc.identifier.wosid000642339400050-
dc.identifier.bibliographicCitationPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.573-
dc.relation.isPartOfPHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS-
dc.citation.titlePHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS-
dc.citation.volume573-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryPhysics, Multidisciplinary-
dc.subject.keywordPlusMULTIFRACTAL ANALYSIS-
dc.subject.keywordPlusCROSS-CORRELATIONS-
dc.subject.keywordPlusMF-DFA-
dc.subject.keywordPlusMARKETS-
dc.subject.keywordPlusUS-
dc.subject.keywordPlusEFFICIENCY-
dc.subject.keywordPlusPROPERTY-
dc.subject.keywordAuthorMultifractality-
dc.subject.keywordAuthorFund-
dc.subject.keywordAuthorSSEC-
dc.subject.keywordAuthorHurst exponent-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science > Department of Mathematics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jun seok photo

Kim, Jun seok
이과대학 (수학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE