The dynamic model of managing the rating of a Russian Federation entity; Advances in Computer Science Research; Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017)

The dynamic model of managing the rating of a Russian Federation entity; Advances in Computer Science Research; Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017)

Detalhes bibliográficos
Parent link:Advances in Computer Science Research
Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017).— 2017.— [P. 13-17]
Autor principal: Mitsel A. A. Artur Aleksandrovich
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра информационных систем (ИС)
Outros Autores: German A. Anna, Grigorjeva M. V. Marina Viktorovna
Resumo:Title screen
The article presents the dynamic model of rating management. To build a management model, a rating assessment model must be previously built. We have constructed a regression model of rating evaluation which includes eight key indices that affect the rating level. On the basis of this model, a dynamic model of rating management for the Russian Federation entities has been formed. The model has been tested on the Tomsk Region rating. The article is of potential use for the Russian Federation entity authorities that may use it to assess the expected level.
Idioma:inglês
Publicado em: 2017
Assuntos:
электронный ресурс
труды учёных ТПУ
credit ratings
Russian Federation entities
managing the risk for the probability of default
кредитные рейтинги
риски
дефолт
динамические модели
Российская Федерация
Acesso em linha:http://dx.doi.org/10.2991/itsmssm-17.2017.4
Formato: Recurso Eletrônico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657530

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