6+

The risk management in bank lending technology corporations

ПОДЕЛИТЬСЯ С ДРУЗЬЯМИ
Авторы


graduate student of the department of macroeconomic development and public administration
Bashkir State University
liankakasimva@yandex.ru

Аннотация

On the basis of a systematic method of structural transformation systems the original algorithm of risk management in banking technology lending entities was developed (businesses and companies). The essence of risk management is to reduce the errors I and II when deciding on the conditions of lending to borrowers (loan size and parameters of the cash flow for repayment) on the basis of an objective assessment of the creditworthiness of borrowers. Application tools - neural network model with a clear description. 

Ключевые слова

1 and 2 the error type, credit risks, scoring models, neural networks, fuzzy penta scale of Pospelov.

Print Friendly, PDF & Email

Категории статьи:

Read also

Статья также доступна (this article also available):

Рекомендуемая ссылка

Kasimova Liana Irikovna
The risk management in bank lending technology corporations// Современные технологии управления. ISSN 2226-9339. – #6 (54). Номер статьи: 5405. Дата публикации: . Режим доступа: https://sovman.ru/en/article/5405/

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.


Библиографический список

  1. Prangishvili I. I. System approach and system-wide patterns [Sistemnyj podhod i obshhesistemnye zakonomernosti ]. Monograph M. SINTEG, 2000.  522 p.
  2. Tihonov A.N., Arsenin V.Ja. Methods for solving ill-posed problems [Metody reshenija nekorrektnyh zadach].  M . Nauka. Fizmalit 1986. 288 p.
  3.  Nedosekin A. O. Comprehensive assessment of risk of bankruptcy corporation based on fuzzy descriptions [Kompleksnaja ocenka riska bankrotstva korporacii na osnove nechetkih opisanij].  URL: http://sedok.narod.ru/sc-group/html/ date treatment 12.15.2013).
  4. Gorbatkov S.A., Polupanov D. V., Makeeva E. Ju., Birjukov A. N. Methodological basis for the development of neural network models of economic objects in an indefinite [Metodologicheskie osnovy razrabotki nejrosetevyh modelej jekonomicheskih ob#ektov v uslovijah neopredeljonnosti]. monograph. M. Publishing house Economic Newspaper, 2012. 494 p.
  5. Haykin S. Neural Networks [Nejronnye seti]. A Comprehensive Foundation. Second Edition.  M. Wilyms, 2006. 1104 p.
  6. Pospelov D.S. Grey and  or black and white scale [Serye i ili cherno-belye shkaly]. Applied Ergonomics. Special edition of reflexive processes.  1994.  №1. 36 p.
  7. Adler Ju. P., Markova E. V., Granovskij Ju.V. Experimental Design for finding optimal conditions [Planirovanie jeksperimenta pri poiske optimal’nyh uslovij]. Ed. 2nd ext. and rev.  M. Nauka, 1976  278 p.