COLLATERAL DETERMINATS IN BANK RISK MANANAGEMENT: THE REGIONAL CASE
Regional banks are struggling with significant obstacles in the modern Russian economy. Among them are strong competition with major big banks, strong resource restrictions, tightening the Bank of Russia’s requirements, and quite rapid expansion of financial technologies. Thus, the reduction of regi...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN RU |
| Publicado: |
MGIMO University Press
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b689bbd5c65b4acd999ead792140c0d3 |
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| Sumario: | Regional banks are struggling with significant obstacles in the modern Russian economy. Among them are strong competition with major big banks, strong resource restrictions, tightening the Bank of Russia’s requirements, and quite rapid expansion of financial technologies. Thus, the reduction of regional banks occurs, that produces both a negative impact on the development of small and medium enterprises (SMEs) and challenges for balanced competition on the Russian market. Basically, these banks provide the settlement of region’s social and economic problems while maintaining local companies and enterprises. Collateral, as a source for losses covering, became the essential element of credit risk management in banks. Providing lenders to implement such instruments, it helps to reduce bank losses under borrower’s default. The purpose of the article relates to revealing of collateral determinants with higher impact on bank risk with the application of empirical methods (including regional level). This study is based on linear regression models evaluated by the least square method. Private data of secured small and medium business loans is used. This article presents LTV (loan-to-value) as a major collateral determinant. The empirical evidence of interlinkage between collateral requirements, by the means of LTV, and risk premium is provided for loan portfolio of Russian regional banks. The hypothesis that LTV conversely correlates with risk premium is statistically proved. |
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