MODELING OF RISK MANAGEMENT IN BANKING SECTOR
https://doi.org/10.21686/2500-3925-2014-2-105-108
Abstract
The article presents a critical review of current methods and models of risk management in the banking sector. The urgency ofdeveloping the model (mathematical) toolsis shown. Particular attention is paid toassessment models of the credit and operational risks and their signifi cance. This work also addresses the requirements ofthe banking regulator in the developmentof the risk management system.
About the Authors
Irina N. Mastyaeva
Moscow StateUniversity of Economics, Statistics andInformatics (MESI)
Russian Federation
Russian Federation
Ruzan E. Mirzahanyan
Moscow StateUniversity of Economics, Statistics andInformatics (MESI)
Russian Federation
Russian Federation
References
1. АндреевА.Ю. Кредитныериски в межбанковских отношениях // Труд и социальные отношения, №9 (63) / 2009, с. 144-149
2. КиселеваИ.А. Моделибанковских рисков. - М.: МЭСИ, 2001
3. Снегова Е.Г. Применение метода логистической регрессии для прогнозирования вероятности дефолтаприэкспресс-кредитовании // Национальныеинтересы: приоритеты и безопасность, №5/ 2010
4. СтрелковС.В. Стохастическое моделирование операционных рисковкредитныхорганизаций// Аудит и финансовый анализ. - М.: ДСМ Пресс, №2/ 2010
5. Andreev A.U. Credit risks in interbank relations // Trud i socialnye otnosheniya, №9 (63)/ 2009, s. 144-149
6. Kiseleva I.A. Models of banking risks. - M.: MESI, 2001
7. Snegova E.G. The use of logistic regression to forecast probability of default for express loans // Nacionalnye interesy: prioritety i bezopasnost, №5/ 2010
8. Strelkov S.V. Stochastic modeling of operational risk of credit institutions / / Audit i finansovyj analiz. - M.: DSM Press, №2/ 2010
Review
For citations:
Mastyaeva I.N., Mirzahanyan R.E. MODELING OF RISK MANAGEMENT IN BANKING SECTOR. Statistics and Economics. 2014;(2):105-108. (In Russ.) https://doi.org/10.21686/2500-3925-2014-2-105-108
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