Publication
How to improve quality investing
| datacite.subject.fos | Ciências Sociais::Sociologia | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
| dc.contributor.author | González, Luis Otero | |
| dc.contributor.author | Santomil, Pablo Durán | |
| dc.contributor.author | Vieito, João Paulo da Torre | |
| dc.contributor.author | Reboredo, Juan Carlos | |
| dc.date.accessioned | 2025-07-15T14:29:42Z | |
| dc.date.available | 2025-07-15T14:29:42Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | In this article, we evaluate the relationship between quality investing combined with Economic Moat, ESG (Environmental, Social and Governance) and analyst opinions over the period 2014–2020 based on a data set comprising 803 US stocks. Performance is evaluated using several metrics (returns and alphas). Our results show that quality stocks measured by return on invested capital (ROIC) exhibit superior performance. The incorporation of competitive advantages allows a better discrimination among the classic high-quality strategies. Investment in stocks with quality and high ESG entails the payment of a premium but buying quality companies with Economic Moat makes up for this negative aspect. The results show how quality companies that have competitive advantages obtain a better future performance and are recognized by the market with a higher valuation. However, the markets may take time to recognize this value since the incorporation of the average Price-to-Price target (Analyst consensus) increases the future performance. JEL classification: G11; G14; G23 | eng |
| dc.description.sponsorship | The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: We acknowledge the funding of: (1) the Galician Regional Government [ED431C 2020/18] co-funded by the European Regional Development Fund (ERDF/FEDER) for the period 2020–2023 and (2) the Ministry of Economy and Competitivity (PID2021-1243360B-100). | |
| dc.identifier.citation | González, Luis Otero; Santomil1, Pablo Durán; Vieito, João Paulo da Torre; Reboredo, Juan Carlos (2025). How to improve quality investing. BRQ Business Research Quarterly. ISSN 2340-9444. 28:2, p.453, 473 | |
| dc.identifier.doi | 10.1177/23409444231202810 | |
| dc.identifier.eissn | 2340-9444 | |
| dc.identifier.issn | 2340-9444 | |
| dc.identifier.uri | http://hdl.handle.net/10198/34667 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | SAGE Publications | |
| dc.relation | ALGORITMI Research Center | |
| dc.relation | Research Center in Basic Education | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Mountain Research Center | |
| dc.relation | Mountain Research Center | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.relation.ispartof | BRQ Business Research Quarterly | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Quality investing | |
| dc.subject | Economic Moat | |
| dc.subject | ESG | |
| dc.subject | Analyst forecast | |
| dc.subject | Performance | |
| dc.title | How to improve quality investing | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | ALGORITMI Research Center | |
| oaire.awardTitle | Research Center in Basic Education | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Mountain Research Center | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05777%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 473 | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 453 | |
| oaire.citation.title | BRQ Business Research Quarterly | |
| oaire.citation.volume | 28 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| relation.isProjectOfPublication | 0d98f999-8fd3-46a8-8a71-a7ff478a1207 | |
| relation.isProjectOfPublication | 4413d006-5f3f-454d-8e17-fd310f2d34e0 | |
| relation.isProjectOfPublication | 6e01ddc8-6a82-4131-bca6-84789fa234bd | |
| relation.isProjectOfPublication | 0aac8939-28c2-46f4-ab6b-439dba7f9942 | |
| relation.isProjectOfPublication | 29718e93-4989-42bb-bcbc-4daff3870b25 | |
| relation.isProjectOfPublication | 6255046e-bc79-4b82-8884-8b52074b4384 | |
| relation.isProjectOfPublication.latestForDiscovery | 0d98f999-8fd3-46a8-8a71-a7ff478a1207 |
