Classification and methodology of risk assessment in integrated structures


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Abstract

The purpose of the research. The article discusses classification of risks and methods of their assessment in integrated structures. The aim of the study is to systematize approaches to risk classification and assessment methods for use in integrated structures. This is necessary for quality risk management. Conclusions. In result of the conducted research the author comes to the conclusion that the risks in integrated structures can be classified according to various criteria, namely the period of occurrence, the factor of appearance, force of impact, size of impact, the area of occurrence, area of occurrence, level of legality. In this article, the author examines in detail the classification of risks in integrated structures. In the study, the author came to the conclusion that for maximum prediction of occurrence with a view to adopting the necessary measures to prevent or minimize its impact, you want them to split, because each risk has its own unique admission control. The author concluded that after determining the location of the risk in their overall system, the effectiveness of the measures taken will increase. By classifying risks in integrated structures, you can determine where the risk is located in their overall system. With its help, opportunities are formed to effectively apply the appropriate methods, as well as techniques for risk management. Assessment of business risks in integrated structures is a stage of risk management that consists of their identification, description, analysis of their consequences, determining the level of probability of their occurrence, and identifying the level of risks for their ranking. You can minimize the risk by using several methods at the same time. To achieve the optimal ratio of the minimum level of risk with the required amount of financial costs, you can use different methods.

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About the authors

Aleksandr V. Vetrov

FSBOU VO «State University of Management»

Email: vetrov.aleksandr01@yandex.ru
graduate student Department of accounting, auditing and taxation Moscow, Russian Federation

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