Testing the significance of pricing factors of oil and gas companies

dc.contributor.authorGarcía Amate, Antonio Jesús
dc.contributor.authorMolero-González, Laura
dc.contributor.authorSánchez-Granero, Miguel Ángel
dc.contributor.authorTrinidad-Segovia, Juan Evangelista
dc.contributor.authorGarcía-Medina, Andrés
dc.contributor.departmentGestión de Empresases_ES
dc.contributor.departmentEnpresen Kudeaketaeu
dc.contributor.departmentInstitute for Advanced Research in Business and Economics - INARBEen
dc.date.accessioned2025-03-24T11:30:54Z
dc.date.available2025-03-24T11:30:54Z
dc.date.issued2024-12-30
dc.date.updated2025-03-24T11:17:32Z
dc.description.abstractFor decades, fossil fuels have accounted for 70% to 80% of global primary energy demand. Far from ending this trend, O&G companies continue to be the main fore-runners in providing secure, versatile and widespread energy to the entire world. The relevance of this sector in the economic-financial landscape and the concern for its stability, makes that the high interest of the scientific community to explore the factors that explain the O&G cross-sectional expected returns remains intact. Through a new approach from the Random Matrix Theory, the aim is to know how many are the factors that explain the market performance of the O&G subsectors (upstream, midstream & downstream), and also if the Brent price can be considered an explanatory factor. We will show that for certain periods, Brent becomes the only factor explaining the movements in the upstream and midstream subsectors, while for most of the time the only factor is the market. Other interesting finding is that no significant factors are found for the downstream subsector, except in certain periods. With a purely statistical approach, we show the factors that explain the cross-sectional expected return of the O&G companies, providing information of special relevance for the decision making of investors, executives and politicians.en
dc.description.sponsorshipGrant PID2021-127836NB-I00 (Ministerio Español de Ciencia e Innovacion and FEDER) | Grant PID2021-127836NB-I00 (Ministerio Español de Ciencia e Innovacion and FEDER) and CDTIME | Financial support by Consejo Nacional de Ciencia y Tecnolog¿a (CONACYT, Mexico) through fund FOSEC SEP-INVESTIGACION BASICA (Grant No. A1-S-43514).
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/msworden
dc.identifier.citationGarcía-Amate, A., Molero-González, L., Sánchez-Granero, M. A., Trinidad-Segovia, J. E., García-Medina, A. (2024). Testing the significance of pricing factors of oil and gas companies. PLOS One, 19(12), 1-18. https://doi.org/10.1371/journal.pone.0316147.
dc.identifier.doi10.1371/journal.pone.0316147
dc.identifier.issn1932-6203
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53797
dc.language.isoeng
dc.publisherPLOS
dc.relation.ispartofPLoS ONE (2024), vol. 12, e0316147
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127836NB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127836NB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pone.0316147
dc.rights© 2024 Garcia-Amate et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectOil and Gas (O&G)en
dc.subjectFinancial marketsen
dc.subjectStock performanceen
dc.subjectRandom Matrix Theory (RMT)en
dc.titleTesting the significance of pricing factors of oil and gas companiesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication547572e0-17ea-4d91-a667-74d17dd708c9
relation.isAuthorOfPublication.latestForDiscovery547572e0-17ea-4d91-a667-74d17dd708c9

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Garcia_Testing.pdf
Size:
2.87 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
Garcia_TestingSignificance_MatCompl.docx
Size:
16.79 KB
Format:
Microsoft Word XML
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: