Co-movements between Shanghai Composite Index and some fund sectors in China
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Jian | - |
dc.contributor.author | Shao, Wei | - |
dc.contributor.author | Ma, Chenmin | - |
dc.contributor.author | Chen, Wenbing | - |
dc.contributor.author | Kim, Junseok | - |
dc.date.accessioned | 2021-11-17T08:40:20Z | - |
dc.date.available | 2021-11-17T08:40:20Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2021-07-01 | - |
dc.identifier.issn | 0378-4371 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/127732 | - |
dc.description.abstract | In 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.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.subject | MULTIFRACTAL ANALYSIS | - |
dc.subject | CROSS-CORRELATIONS | - |
dc.subject | MF-DFA | - |
dc.subject | MARKETS | - |
dc.subject | US | - |
dc.subject | EFFICIENCY | - |
dc.subject | PROPERTY | - |
dc.title | Co-movements between Shanghai Composite Index and some fund sectors in China | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Junseok | - |
dc.identifier.doi | 10.1016/j.physa.2021.125981 | - |
dc.identifier.scopusid | 2-s2.0-85104083542 | - |
dc.identifier.wosid | 000642339400050 | - |
dc.identifier.bibliographicCitation | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.573 | - |
dc.relation.isPartOf | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | - |
dc.citation.title | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | - |
dc.citation.volume | 573 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Physics, Multidisciplinary | - |
dc.subject.keywordPlus | MULTIFRACTAL ANALYSIS | - |
dc.subject.keywordPlus | CROSS-CORRELATIONS | - |
dc.subject.keywordPlus | MF-DFA | - |
dc.subject.keywordPlus | MARKETS | - |
dc.subject.keywordPlus | US | - |
dc.subject.keywordPlus | EFFICIENCY | - |
dc.subject.keywordPlus | PROPERTY | - |
dc.subject.keywordAuthor | Multifractality | - |
dc.subject.keywordAuthor | Fund | - |
dc.subject.keywordAuthor | SSEC | - |
dc.subject.keywordAuthor | Hurst exponent | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.