Multi-criteria analysis of green bonds: Hybrid multi-method applications
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/su131910512 http://hdl.handle.net/11449/222484 |
Resumo: | There is an increasing pressure by the community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was created. Our research question is “How to select bonds in a growing billion-dollar market?” This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic hierarchy process (AHP), complex proportional assessment (COPRAS), full consistency method (FUCOM), step-wise Weights Assessment Ratio Analysis (SWARA), and technique of order preference similarity to the ideal solution (TOPSIS) are MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new ranks from MCDA are compared each other and compared with the rank published by specialized media. |
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Multi-criteria analysis of green bonds: Hybrid multi-method applicationsAHPCOPRASCorporate financeEnvironmental performanceFinancial planningFUCOMGreen bondsMCDASWARATOPSISThere is an increasing pressure by the community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was created. Our research question is “How to select bonds in a growing billion-dollar market?” This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic hierarchy process (AHP), complex proportional assessment (COPRAS), full consistency method (FUCOM), step-wise Weights Assessment Ratio Analysis (SWARA), and technique of order preference similarity to the ideal solution (TOPSIS) are MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new ranks from MCDA are compared each other and compared with the rank published by specialized media.Association for Progressive CommunicationsCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Department of Production School of Engineering Universidade Estadual Paulista Júlio de Mesquita FilhoDepartment of Industrial Engineering Corporación Universitária de la Costa, Calle 58 #55–66Department of Production School of Engineering Universidade Estadual Paulista Júlio de Mesquita FilhoUniversidade Estadual Paulista (UNESP)Corporación Universitária de la CostaLombardi Netto, Antonio [UNESP]Salomon, Valerio Antonio Pamplona [UNESP]Ortiz Barrios, Miguel Angel2022-04-28T19:44:54Z2022-04-28T19:44:54Z2021-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/su131910512Sustainability (Switzerland), v. 13, n. 19, 2021.2071-1050http://hdl.handle.net/11449/22248410.3390/su1319105122-s2.0-85115718246Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSustainability (Switzerland)info:eu-repo/semantics/openAccess2022-04-28T19:44:54Zoai:repositorio.unesp.br:11449/222484Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:55:52.101397Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
title |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
spellingShingle |
Multi-criteria analysis of green bonds: Hybrid multi-method applications Lombardi Netto, Antonio [UNESP] AHP COPRAS Corporate finance Environmental performance Financial planning FUCOM Green bonds MCDA SWARA TOPSIS |
title_short |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
title_full |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
title_fullStr |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
title_full_unstemmed |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
title_sort |
Multi-criteria analysis of green bonds: Hybrid multi-method applications |
author |
Lombardi Netto, Antonio [UNESP] |
author_facet |
Lombardi Netto, Antonio [UNESP] Salomon, Valerio Antonio Pamplona [UNESP] Ortiz Barrios, Miguel Angel |
author_role |
author |
author2 |
Salomon, Valerio Antonio Pamplona [UNESP] Ortiz Barrios, Miguel Angel |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Corporación Universitária de la Costa |
dc.contributor.author.fl_str_mv |
Lombardi Netto, Antonio [UNESP] Salomon, Valerio Antonio Pamplona [UNESP] Ortiz Barrios, Miguel Angel |
dc.subject.por.fl_str_mv |
AHP COPRAS Corporate finance Environmental performance Financial planning FUCOM Green bonds MCDA SWARA TOPSIS |
topic |
AHP COPRAS Corporate finance Environmental performance Financial planning FUCOM Green bonds MCDA SWARA TOPSIS |
description |
There is an increasing pressure by the community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was created. Our research question is “How to select bonds in a growing billion-dollar market?” This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic hierarchy process (AHP), complex proportional assessment (COPRAS), full consistency method (FUCOM), step-wise Weights Assessment Ratio Analysis (SWARA), and technique of order preference similarity to the ideal solution (TOPSIS) are MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new ranks from MCDA are compared each other and compared with the rank published by specialized media. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-01 2022-04-28T19:44:54Z 2022-04-28T19:44:54Z |
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://dx.doi.org/10.3390/su131910512 Sustainability (Switzerland), v. 13, n. 19, 2021. 2071-1050 http://hdl.handle.net/11449/222484 10.3390/su131910512 2-s2.0-85115718246 |
url |
http://dx.doi.org/10.3390/su131910512 http://hdl.handle.net/11449/222484 |
identifier_str_mv |
Sustainability (Switzerland), v. 13, n. 19, 2021. 2071-1050 10.3390/su131910512 2-s2.0-85115718246 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Sustainability (Switzerland) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129474061926400 |