Zabezhaylo I.M. Improvement of Bank Risks Management on the Basis of “Monitoring – Identification – Protection” Technique

http://dx.doi.org/10.15688/jvolsu3.2014.5.11

Zabezhaylo Ivan Mikhaylovich
Deputy Head of the Department of Market, Structural and Nonfinancial Risks,
OJSC “Russian Bank for Small and Medium Enterprises Support”
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Sadovnicheskaya St., 79, 115035 Moscow, Russian Federation


Abstract. The banking system in contemporary conditions becomes the critically important subsystem of any national economy. To ensure a successful and profitable operation of the bank the effective management of associated risks is necessary. A technique of banking risk management, which includes three functional blocks: monitoring, identification and protection against risks, is proposed in the article. A key element of the proposed method is the stage of optimization of risk management in the context of the particular situation of data analysis and decision making. The two-factor model of optimizing the choice of means of risk management is argued. This model implies two options: to minimize the level of allowable risks when you fix the volume of the resources required for reliable risk management in this particular situation on an acceptable (target, desired) level; or to minimize the volume of the resources required for reliable in this situation analyzed risk management when you fixed appropriate risks at an acceptable level. The technique is based on an integrated approach, the basic elements of which are the abilities to work with different types of data, and to use common methods and means of data processing. The proposed method makes it possible to integrate qualitative and quantitative risk management tools in a single process of data analysis and decision making support. The proposed method of banking risk management is a tool to detail the national regulators recommendations by taking into account the specific (context) features of a particular financial institution management during its implementation. The technique allows for contextual tools setting, depending on the application field.

Key words: banking risks, risks management, risk management, management algorithm, risk management technique, complex approach to management.

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