Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/90426
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorMokhov, V. G.en
dc.contributor.authorChebotareva, G. S.en
dc.date.accessioned2020-09-29T09:47:19Z-
dc.date.available2020-09-29T09:47:19Z-
dc.date.issued2019-
dc.identifier.citationMokhov, V. G. Research of default risk level of Russian energy / V. G. Mokhov, G. S. Chebotareva. — DOI 10.14529/mmp190215 // Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software. — 2019. — Vol. 2. — Iss. 12. — P. 166-171.en
dc.identifier.issn2071-0216-
dc.identifier.otherhttps://doi.org/10.14529/mmp190215pdf
dc.identifier.other1good_DOI
dc.identifier.other1b5532e5-816e-4962-a216-a99c9bfc5ad1pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85070549812m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/90426-
dc.description.abstractThe liberalization of the electricity market intensifies the competition for investors in the Russian energy market, for which the financial stability of energy companies is an important criterion. The paper presents the mathematical modelling of integrated assessment of the default risk level of Russian energy companies, taking into account their specific characteristics: type of the energy business, form of ownership, and regional specific. The research is based on the industry approach to the diagnostics of default risk level of energy companies. The approach includes the logit-model and assessment of the coefficients significance. The complexity of this model is conditioned by the study of external and internal financial and economic indicators, as well as qualitative criteria based on the introduction of dummy-variables. Four groups of default risk level of Russian energy companies are proposed. The use of mathematical modelling tools increases the accuracy of assessing the financial insolvency of energy companies in comparison with the traditional methods. Therefore, the proposed approach is novel, relevant, and practically significant. Research veracity is confirmed by the practical implementation. We recommend the use of the proposed methodology in assessment of the current state and development strategy of Russian energy companies, as well as by investors and analysts to make financial decisions. © 2019 South Ural State University. All rights reserved.en
dc.description.sponsorshipRussian Science Foundation, RSF: 17-78-10039en
dc.description.sponsorshipAcknowledgements. The work was supported by a grant of the Russian Science Foundation (project No. 17-78-10039) (Chapter 1 and 2) and by Act 211 Government of the Russian Federation, contract No. 02.A03.21.0011 (Chapter 2).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherSouth Ural State Universityen
dc.relationinfo:eu-repo/grantAgreement/RSF//17-78-10039en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceBulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Softwareen
dc.subjectDEFAULTen
dc.subjectENERGYen
dc.subjectENERGY BUSINESSen
dc.subjectINVESTMENTSen
dc.subjectLOGIT-MODELen
dc.subjectMODELLINGen
dc.subjectPROBABILITY OF DEFAULTen
dc.subjectRISKen
dc.titleResearch of default risk level of Russian energyen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi38225247-
dc.identifier.doi10.14529/mmp190215-
dc.identifier.scopus85070549812-
local.affiliationSouth Ural State University, Chelyabinsk, Russian Federationen
local.affiliationUral Federal University, Ekaterinburg, Russian Federationen
local.contributor.employeeMokhov, V.G., South Ural State University, Chelyabinsk, Russian Federationru
local.contributor.employeeChebotareva, G.S., Ural Federal University, Ekaterinburg, Russian Federationru
local.description.firstpage166-
local.description.lastpage171-
local.issue12-
local.volume2-
dc.identifier.wos000469488700015-
local.identifier.pure10034447-
local.identifier.eid2-s2.0-85070549812-
local.fund.rsf17-78-10039-
local.identifier.wosWOS:000469488700015-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Файлы этого ресурса:
Файл Описание РазмерФормат 
10.14529-mmp190215.pdf163,25 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.