Supply chain networks and return predictability

Detalhes bibliográficos
Autor(a) principal: Averina, Anna
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/70407
Resumo: I use network theory to construct a set of long-short strategies for 65 companies, connected to the tire industry via trade relationships. I find that companies that are more central to the supply chain network earn higher returns that peripheral firms (Information Ratio of 0.72). A plausible explanation to this is that central firms are exposed to more shocks and, therefore, command a higher risk premium. Empirical evidence for this sector also suggests marginal return predictability for supply chain networks (for the revenues and market data), however, it does not outperform the benchmarks due to fast information diffusion across the network.
id RCAP_bfc2d88827f29278fb78d4ecbd0d4b1b
oai_identifier_str oai:run.unl.pt:10362/70407
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Supply chain networks and return predictabilityTire industrySupply chain networkMarginal return predictabilityDomínio/Área Científica::Ciências Sociais::Economia e GestãoI use network theory to construct a set of long-short strategies for 65 companies, connected to the tire industry via trade relationships. I find that companies that are more central to the supply chain network earn higher returns that peripheral firms (Information Ratio of 0.72). A plausible explanation to this is that central firms are exposed to more shocks and, therefore, command a higher risk premium. Empirical evidence for this sector also suggests marginal return predictability for supply chain networks (for the revenues and market data), however, it does not outperform the benchmarks due to fast information diffusion across the network.Ribeiro, Gonçalo SommerRUNAverina, Anna2019-05-22T13:47:19Z2019-01-252019-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/70407TID:202225356enginfo: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:RCAAP2024-03-11T04:33:20Zoai:run.unl.pt:10362/70407Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:05.479955Repositório 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 Supply chain networks and return predictability
title Supply chain networks and return predictability
spellingShingle Supply chain networks and return predictability
Averina, Anna
Tire industry
Supply chain network
Marginal return predictability
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Supply chain networks and return predictability
title_full Supply chain networks and return predictability
title_fullStr Supply chain networks and return predictability
title_full_unstemmed Supply chain networks and return predictability
title_sort Supply chain networks and return predictability
author Averina, Anna
author_facet Averina, Anna
author_role author
dc.contributor.none.fl_str_mv Ribeiro, Gonçalo Sommer
RUN
dc.contributor.author.fl_str_mv Averina, Anna
dc.subject.por.fl_str_mv Tire industry
Supply chain network
Marginal return predictability
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Tire industry
Supply chain network
Marginal return predictability
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description I use network theory to construct a set of long-short strategies for 65 companies, connected to the tire industry via trade relationships. I find that companies that are more central to the supply chain network earn higher returns that peripheral firms (Information Ratio of 0.72). A plausible explanation to this is that central firms are exposed to more shocks and, therefore, command a higher risk premium. Empirical evidence for this sector also suggests marginal return predictability for supply chain networks (for the revenues and market data), however, it does not outperform the benchmarks due to fast information diffusion across the network.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-22T13:47:19Z
2019-01-25
2019-01-25T00:00:00Z
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/10362/70407
TID:202225356
url http://hdl.handle.net/10362/70407
identifier_str_mv TID:202225356
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.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
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
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
_version_ 1799137972492173312

Registros relacionados