Использование дискриминантного анализа для выявлeния финансово нeустойчивых пpeдпpиятий банков Pоссии и мира; Перспективы развития фундаментальных наук; Т. 5 : Экономика и управление
| Parent link: | Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XV Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 24-27 апреля 2018 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2018 Т. 5 : Экономика и управление.— 2018.— [С. 264-266] |
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| Sammanfattning: | Заглавие с экрана In this article the financial reporting is considered and the mathematical model for identification of financially unstable banks of Russia and the world is under construction. Special attention is paid to data collection. They shall be written down correctly and in one dimension for the further analysis. Presently, even more often use mathematical modeling in the analysis of any processes. There is such threshold value or limits of data when which crossing the organization, in our case bank, begins to work at a loss. By means of models the forecast for a future period is done the same. In the bank sphere of Russia since 2013 there were changes and the Bank of Russia toughened control over credit institutions. It became the beginning to mass verification of the reporting of credit institutions and mass revocations of licenses. |
| Språk: | ryska |
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2018
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| Länkar: | http://earchive.tpu.ru/handle/11683/50935 |
| Materialtyp: | Elektronisk Bokavsnitt |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=627696 |
| Sammanfattning: | Заглавие с экрана In this article the financial reporting is considered and the mathematical model for identification of financially unstable banks of Russia and the world is under construction. Special attention is paid to data collection. They shall be written down correctly and in one dimension for the further analysis. Presently, even more often use mathematical modeling in the analysis of any processes. There is such threshold value or limits of data when which crossing the organization, in our case bank, begins to work at a loss. By means of models the forecast for a future period is done the same. In the bank sphere of Russia since 2013 there were changes and the Bank of Russia toughened control over credit institutions. It became the beginning to mass verification of the reporting of credit institutions and mass revocations of licenses. |
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