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dc.contributor.authorJurevičienė, Daiva
dc.contributor.authorRauličkis, Darius
dc.date.accessioned2023-09-18T20:29:45Z
dc.date.available2023-09-18T20:29:45Z
dc.date.issued2020
dc.identifier.issn1648-0627
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150405
dc.description.abstractThe research examines an approach to forecast return on equity using leading economic indicators for short periods in banks. ROE is one of the most important ratios for performance measurement. Its adequacy is necessary for competitiveness, attract funding in financial markets, accumulate reserve for future turbulences, secure compliance with supervisory requirements and maintain positive signals for the market. There is still a debate in the literature on factors of commercial banks’ profitability forecasting, techniques, and most appropriate models to improve the correctness of predicting and acquiring more accurate signals for communication on targets. The problems are still relevant from both a theoretical perspective and practical implementation. This research aims to prove the necessity to include leading economic indicators for short term ROE forecasting. It conducts investigations for the relevant studies, using regression analysis, necessary tests, ascertains opportunities and limitations of using these indicators and develops a conceptual model and its assessment major Baltic banks. The results show verification of approach to forecast ROE using leading economic indicators for short periods. Such study complements signalling theory with a new approach, how to predict and acquire signal not only using economic indicators as a general group but sub-group them into coinciding, lagging and leading.eng
dc.formatPDF
dc.format.extentp. 460-468
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyICONDA
dc.relation.isreferencedbyDimensions
dc.relation.isreferencedbyGale's Academic OneFile
dc.source.urihttps://journals.vgtu.lt/index.php/BTP/article/view/12664/10007
dc.source.urihttps://doi.org/10.3846/btp.2020.12664
dc.titleForecasting banks return on equity using leading economic indicators
dc.typeStraipsnis Scopus DB / Article in Scopus DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unre-stricted use, distribution, and reproduction in any medium, provided the original author and source are credited
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references55
dc.type.pubtypeS2 - Straipsnis Scopus DB / Scopus DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionMykolo Romerio universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enreturn on equity
dc.subject.enfinancial ratios
dc.subject.eneconomic indicators
dc.subject.enleading economic indicators
dc.subject.enforecasting
dc.subject.enbanks
dcterms.sourcetitleBusiness: theory and practice = Verslas: teorija ir praktika
dc.description.issueiss. 2
dc.description.volumevol. 21
dc.publisher.nameVGTU Press
dc.publisher.cityVilnius
dc.identifier.doi2-s2.0-85089008864
dc.identifier.doi10.3846/btp.2020.12664
dc.identifier.elaba64536486


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