Cluster analysis and segmentation of Global M&A transactions

Detalhes bibliográficos
Autor(a) principal: Teixeira, Ricardo Moutinho
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/9851
Resumo: A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
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spelling Cluster analysis and segmentation of Global M&A transactionsMergers and Acquisitions (M&A)Value creationFactor aAnalysisCluster analysisSegmentationA Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and EconomicsThe present thesis is the analysis a dataset of mergers and acquisitions (M&A) through a segmentation process by cluster analysis, to better understand combined explanatory variables and characteristics of global M&A transactions. Past researched has strongly focused on (A) whether or not M&A creates wealth for investors or (B) which factors and variables help explain value this wealth (des)creation. The present thesis is rather an attempt to reach a third leg of research which is that, by segmenting and understanding these “natural” groupings we may develop a richer understanding of this form of corporate transactions. The paper comprises a study-event dataset from global completed M&A since 1994 with high disclosure filters, a factor analysis that selected 7 out of 13 variables from previous literature review, preceded by a the cluster analysis for variable selection. The end result indicated a connection between several explanatory variables and the formation of clusters with economical meaning. Six clusters were formed under a two-step clustering process. The paper has three relevant highlights: (1) the application of cluster analysis in a M&A setting; (2) the selection of surrogate variables from the factor analysis, providing better economic representation and (3) a clustering method that automatically captures the natural grouping the dataset.NSBE - UNLAlmeida, José Neves deRUNTeixeira, Ricardo Moutinho2013-06-07T14:19:36Z2013-012013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/9851enginfo: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:RCAAP2024-03-11T03:43:11Zoai:run.unl.pt:10362/9851Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:19:04.819883Repositório 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 Cluster analysis and segmentation of Global M&A transactions
title Cluster analysis and segmentation of Global M&A transactions
spellingShingle Cluster analysis and segmentation of Global M&A transactions
Teixeira, Ricardo Moutinho
Mergers and Acquisitions (M&A)
Value creation
Factor aAnalysis
Cluster analysis
Segmentation
title_short Cluster analysis and segmentation of Global M&A transactions
title_full Cluster analysis and segmentation of Global M&A transactions
title_fullStr Cluster analysis and segmentation of Global M&A transactions
title_full_unstemmed Cluster analysis and segmentation of Global M&A transactions
title_sort Cluster analysis and segmentation of Global M&A transactions
author Teixeira, Ricardo Moutinho
author_facet Teixeira, Ricardo Moutinho
author_role author
dc.contributor.none.fl_str_mv Almeida, José Neves de
RUN
dc.contributor.author.fl_str_mv Teixeira, Ricardo Moutinho
dc.subject.por.fl_str_mv Mergers and Acquisitions (M&A)
Value creation
Factor aAnalysis
Cluster analysis
Segmentation
topic Mergers and Acquisitions (M&A)
Value creation
Factor aAnalysis
Cluster analysis
Segmentation
description A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics
publishDate 2013
dc.date.none.fl_str_mv 2013-06-07T14:19:36Z
2013-01
2013-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/9851
url http://hdl.handle.net/10362/9851
dc.language.iso.fl_str_mv eng
language eng
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 NSBE - UNL
publisher.none.fl_str_mv NSBE - UNL
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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