The Ordered Weighted Average Sector Liquid Return Index: A Method for Determining Financial Recovery from Sectoral Debt
dc.contributor.author
dc.date.accessioned
2023-12-14T11:40:43Z
dc.date.available
2023-12-14T11:40:43Z
dc.date.issued
2023-11-30
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dc.description.abstract
The primary aim of this article is to demonstrate that using the average of ratios as a representative value for measuring the health of a sector does not constitute a valid procedure. After mathematically demonstrating this objective, the article will then focus on introducing a new index for estimating the potential debt return value for a sector or group of companies. Next, the article details the start of the process for creating a new index to improve investors’ understanding of the risk associated with a sector or a group of companies meeting short-term obligations based on assigned probabilities of future sales. Given that said value is intended to represent an indicator of expected liquid solvency, its construction will take treasury tensions into account. An Ordered Weighted Average type of aggregation function is used to aggregate the magnitudes in this scenario. Consequently, the second objective of the present work is the creation of this index, which provides an initial estimate of how much money can be recovered from a sector’s debt
dc.description.sponsorship
This research was funded by the Spanish Ministry of Science and Innovation (AEI/10.13039/501100011033) and by ERDF A way of making Europe, grant number PID2021-123833OB-I00
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application/pdf
dc.language.iso
eng
dc.publisher
MDPI (Multidisciplinary Digital Publishing Institute)
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PID2021-123833OB-I00
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Reproducció digital del document publicat a: https://doi.org/10.3390/math11234839
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Mathematics, 2023, vol. 11, núm. 23, p. 4839
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Articles publicats (D-EM)
dc.rights
Attribution 4.0 International
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dc.subject
dc.title
The Ordered Weighted Average Sector Liquid Return Index: A Method for Determining Financial Recovery from Sectoral Debt
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123833OB-I00/ES/GENERATION AND TRANSFER OF COMPOSITIONAL DATA ANALYSIS KNOWLEDGE/
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
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dc.relation.ProjectAcronym
dc.identifier.eissn
2227-7390