Показати скорочену інформацію

dc.contributor.authorMamyrbayev, Orkenen
dc.contributor.authorAzarova, Anzhelikaen
dc.contributor.authorNikiforova, Liliiaen
dc.contributor.authorKalizhanova, Aliyaen
dc.contributor.authorShyian, Anatoliien
dc.contributor.authorRuzakova, Olgaen
dc.contributor.authorSavina, Nataliaen
dc.contributor.authorАзарова, А. О.uk
dc.contributor.authorНікіфорова, Л. О.uk
dc.contributor.authorШиян, А. А.uk
dc.date.accessioned2025-01-28T09:12:07Z
dc.date.available2025-01-28T09:12:07Z
dc.date.issued2021
dc.identifier.citationMamyrbayev O., Azarova A., Nikiforova L., Kalizhanova A., Shyian A., Ruzakova O., Savina N. Mathematical model and method of enterprise financial risk assessment based on threshold elements // Proceedings of the 2nd International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2021) co-located with XXI International Conference on Information Technologies in Education and Management (ITEM 2021), Kherson, Ukraine, September 16-17, 2021. 2021. Vol. 3101. Pp. 275-291.uk
dc.identifier.urihttps://ir.lib.vntu.edu.ua//handle/123456789/44017
dc.description.abstractTo assessfinancial risk, it is necessary to restore a large set of many initial parameters, which aren’t only determined by the criteria of authority, efficiency, and minimum capabilities, but also by using special information and their display functions. The authors propose a model of financial risk assessment of the enterprise, developed on the basis of mathematical apparatus of certain elements of decomposition functionsto coordinate parameters and functions of determining the level of risk of a potential investor, which is a more accurate, unambiguous, and categorical during the assessment of financial risk by using rigidly defined threshold elements of input parameters loaded into response classes. The solution to the complex problem of accurate financial risk assessment becomes possible by obtaining several quantitative estimates of all separate classes of input data. The accuracy of financial risk assessment for the computer model developed in the article has been experimentally tested in small enterprises and is the highest in comparison to the normative methods of financial risk assessment. The special proposal of the proposed model consists of the restoration of many fundamental initial parameters aimed at assessing the financial risk, which is determined by the relevant capabilities of the enterprise and expert information. The model also uses the function of conversion of initial parameters for the assessment and a set of functional decompositions for compiling parameters, to influence the identification of financial risk which makes it universal for the use of enterprises operating in different sectors of the economy. Also, the developed computer model can be used both offline and when using a cloud environment.en
dc.language.isoenen
dc.publisherCEUR-WSen
dc.relation.ispartofProceedings of the 2nd International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2021) co-located with XXI International Conference on Information Technologies in Education and Management (ITEM 2021), Kherson, Ukraine, September 16-17, 2021. Vol. 3101 : 275-291.en
dc.subjectRisken
dc.subjectinformation technologyen
dc.subjectrisk assessmenten
dc.subjectfinancial risken
dc.subjectcomputer modelen
dc.subjectfinancial conditionen
dc.subjectrisk functionen
dc.subjectthreshold elementsen
dc.subject2-factor model of Gorvatoven
dc.subjectmultifactor regression analysisen
dc.subjectexpertsen
dc.subjectalgorithmen
dc.subjectassessmenten
dc.subjectenterpriseen
dc.titleMathematical model and method of enterprise financial risk assessment based on threshold elementsen
dc.typeArticle, Scopus-WoS
dc.typeArticle
dc.identifier.orcidhttps://orcid.org/0000-0001-8318-3794
dc.identifier.orcidhttps://orcid.org/0000-0003-3340-5701
dc.identifier.orcidhttps://orcid.org/0000-0002-7034-607X
dc.identifier.orcidhttps://orcid.org/0000- 0002-5979-9756
dc.identifier.orcidhttps://orcid.org/0000-0002-5418-1498
dc.identifier.orcidhttps://orcid.org/0000-0002-4796-9703
dc.identifier.orcidhttps://orcid.org/0000-0003-3678-9229


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Показати скорочену інформацію