KFU. Card publication. ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ESTIMATING BANKRUPTCY PROBABILITY OF CREDIT ORGANIZATIONS

Form of presentation

Articles in international journals and collections

Year of publication

2018

Язык

английский

Authors, employees of KFU

Zakirova Dilyara Farilovna, author

Bibliographic description in the original language

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)

Annotation

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

Keywords

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

The name of the journal

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

URL

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=193477&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Zakirova Dilyara Farilovna	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/eng/?p_id=193477&p_lang=2	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	Articles in international journals and collections	ru_RU