Analysis of stock market indices through multidimensional scaling
Main Author: | |
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Publication Date: | 2011 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Download full: | http://hdl.handle.net/10400.22/4103 |
Summary: | We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models. |
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Analysis of stock market indices through multidimensional scalingMultidimensional scalingStock market daily valuesTime-varying correlationEconophysicsWe propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models.ElsevierRepositório Científico do Instituto Politécnico do PortoMachado, J. A. TenreiroDuarte, Fernando B.Duarte, Gonçalo Monteiro2014-03-05T16:28:04Z20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/4103eng007-570410.1016/j.cnsns.2011.04.027info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:44:00Zoai:recipp.ipp.pt:10400.22/4103Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:25:01.456483Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Analysis of stock market indices through multidimensional scaling |
title |
Analysis of stock market indices through multidimensional scaling |
spellingShingle |
Analysis of stock market indices through multidimensional scaling Machado, J. A. Tenreiro Multidimensional scaling Stock market daily values Time-varying correlation Econophysics |
title_short |
Analysis of stock market indices through multidimensional scaling |
title_full |
Analysis of stock market indices through multidimensional scaling |
title_fullStr |
Analysis of stock market indices through multidimensional scaling |
title_full_unstemmed |
Analysis of stock market indices through multidimensional scaling |
title_sort |
Analysis of stock market indices through multidimensional scaling |
author |
Machado, J. A. Tenreiro |
author_facet |
Machado, J. A. Tenreiro Duarte, Fernando B. Duarte, Gonçalo Monteiro |
author_role |
author |
author2 |
Duarte, Fernando B. Duarte, Gonçalo Monteiro |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Machado, J. A. Tenreiro Duarte, Fernando B. Duarte, Gonçalo Monteiro |
dc.subject.por.fl_str_mv |
Multidimensional scaling Stock market daily values Time-varying correlation Econophysics |
topic |
Multidimensional scaling Stock market daily values Time-varying correlation Econophysics |
description |
We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z 2014-03-05T16:28:04Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/4103 |
url |
http://hdl.handle.net/10400.22/4103 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
007-5704 10.1016/j.cnsns.2011.04.027 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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