КФУ. Карточка публикации. ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS

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ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2018

Язык

английский

Авторы, сотрудники КФУ

Закирова Диляра Фариловна, автор

Библиографическое описание на языке оригинала

Dilyara F. Zakirova, Dmitry S. Panteleev, Elvira F. Zakirova ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS // International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies. Vol.9(1) (2018)

Аннотация

International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

Ключевые слова

Banking system; Bank default; Financial stability; Fianancial Engineering; Bank bankruptcy; Financial stability, Risks forecasting system of bankruptcy.

Название журнала

International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

URL

http://tuengr.com/V09/307.pdf

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=193477

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Закирова Диляра Фариловна	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Dilyara F. Zakirova, Dmitry S. Panteleev, Elvira F. Zakirova ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS // International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies. Vol.9(1) (2018)	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=193477	ru_RU
dc.description.abstract	International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies	ru_RU
dc.description.abstract	The paper discusses the issue of bankruptcy of credit institutions in the Russian Federation. In addition, this work reveals the causes for the formation of effective systems for preventing defaults, and presents the analysis of the causes for the deterioration of financial stability of credit institutions. Also, this work reviews the main approaches and authoring techniques used in world practice to assess the probability of bankruptcies; as well as a system of factors that affect the financial stability of a credit institution up to its possible default is formed. Moreover, a system for forecasting the risk of bankruptcy in a Russian bank with a forecast horizon of 5 months and a classification accuracy of 88.33% was proposed. The proposed diagnostic system was based on a logistic regression model of binary choice, what makes it possible to distinguish between financially stable and problem banks. The sample included all banks that suffered a default in the period under study. The co	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Banking system; Bank default; Financial stability; Fianancial Engineering; Bank bankruptcy; Financial stability	ru_RU
dc.subject	Risks forecasting system of bankruptcy.	ru_RU
dc.title	ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU