Simulation mathematical model of small enterprise functioning is under analysis in this article. It is assumed that annual working capital profitability and loan rate are random variables with normal distribution, the amount of borrowed capital does not exceed the amount of own working capital. Given the value of its working capital at the beginning of time, its dependence on time is constructed as a random process. The parameters of random variables are estimated based on the processing of statistical data on the previous activities of this enterprise. The implementation of the random process is statistically modeled. With the help of the statistical tests, implementations of random function of growth of own working capital are built and the probability of bankruptcy is estimated as relative frequency of cases of adoption of negative value by random function. It is proposed to use the built simulation model of the enterprise to estimate the probability of bankruptcy of the studied enterprise in the coming period (a given number ofyears).
The article is devoted to the state support for Russian industrial exports, the development and expansion of which is a lever for the stability of the national economy and the country's competitiveness on the international market. The authors consider the main forms and tools of the state policy to support exports in the Rostov region in the context of implementation of priority national projects. The analysis of the structure of the state system for export support in Russia in general and in the Rostov region in particular.
The article is devoted to the development of the industrial complex in the conditions of spreading of new coronavirus infection. The following points are considered in the article: the main forms and tools of state support for industrial enterprises in the Rostov region in the context of the pandemic, measures taken by the Government of the Russian Federation and regions to reduce the negative impact of the pandemic on industries and stabilize the work of industrial enterprises.
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