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dc.contributor.authorHryn, N.-
dc.contributor.authorMalugin, V.-
dc.contributor.authorNovopoltsev, A.-
dc.date.accessioned2013-11-18T08:06:08Z-
dc.date.available2013-11-18T08:06:08Z-
dc.date.issued2013-
dc.identifier.citationComputer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 2. — Minsk, 2013. - P. 156-159ru
dc.identifier.urihttp://elib.bsu.by/handle/123456789/52084-
dc.description.abstractThe system of statistical credit ratings (SSCR) of companies based on the fi- nancial report data as well as related software is proposed. The system includes three types of statistical creditworthiness indicators: individual ratings of compa- nies, mean ratings by branch of the economy and mean integral creditworthiness indicator of the economy. The relations between the proposed creditworthy indi- cators and main economic indicators of Belarusian economy are investigated by means of econometric modeling and forecasting.ru
dc.language.isoenru
dc.publisherMinsk : Publ. center of BSUru
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетикаru
dc.titleStatistical company’s credit ratings and their econometric analysisru
dc.typeArticleru
Appears in Collections:Статьи факультета прикладной математики и информатики
2013. Computer Data Analysis and Modeling. Vol 2
Vol. 2

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