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https://elib.bsu.by/handle/123456789/52084
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DC Field | Value | Language |
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dc.contributor.author | Hryn, N. | - |
dc.contributor.author | Malugin, V. | - |
dc.contributor.author | Novopoltsev, A. | - |
dc.date.accessioned | 2013-11-18T08:06:08Z | - |
dc.date.available | 2013-11-18T08:06:08Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 2. — Minsk, 2013. - P. 156-159 | ru |
dc.identifier.uri | http://elib.bsu.by/handle/123456789/52084 | - |
dc.description.abstract | The 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.iso | en | ru |
dc.publisher | Minsk : Publ. center of BSU | ru |
dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | ru |
dc.title | Statistical company’s credit ratings and their econometric analysis | ru |
dc.type | Article | ru |
Appears in Collections: | Статьи факультета прикладной математики и информатики 2013. Computer Data Analysis and Modeling. Vol 2 Vol. 2 |
Files in This Item:
File | Description | Size | Format | |
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156-159.pdf | 358,99 kB | Adobe PDF | View/Open |
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