Multi-criteria analysis of green bonds: Hybrid multi-method applications

Detalhes bibliográficos
Autor(a) principal: Lombardi Netto, Antonio [UNESP]
Data de Publicação: 2021
Outros Autores: Salomon, Valerio Antonio Pamplona [UNESP], Ortiz Barrios, Miguel Angel
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.
id UNSP_1800effa0a96c3c66b0b4292f65969f2
oai_identifier_str oai:repositorio.unesp.br:11449/222484
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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