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ECONOMICO-MATHEMATICAL MODELING OF COVID-19 INFLUENCE AT TRANSPORTATION COMPANY FUNCTIONING

The article covers the trends of COVID-19 influence on the economic situation of the motor transport enterprise in Ukraine. As a result of the pandemic, Ukraine has seen a reduction in production, reduction of corporate incomes, an increase of unemployment, and impoverishment. The paper investigates the consequences of the pandemic the motor transport. In the example of a small trucking company, profits and profitability decrease of the company during a pandemic is considered. An economic-mathematical model based on net present value and internal profitability is created. By changing the key parameters of the model, the sensitivity analysis is performed, which consists of substituting various hypothetical values of critical parameters into the financial model of the project with their subsequent calculation. Calculated indicators of variation. The coefficient of variation used to estimate the risk per unit of return is calculated. Recommendations on the work of the enterprise after the pandemic are given. Possibilities of basic expenses optimization are analyzed. As a result of the spread of the coronavirus, the expected reduction in employment in passenger traffic is 21%. During a pandemic, bank loans and deposits are important. However, given the economic and political instability in the country, banks face significant difficulties in formulating and implementing effective interest rate policies. Interest rates on active and passive operations of the NBU have currently risen to 7.5%. Because any loans need to be given, the internal rate of return, or internal rate of return (IRR), is analyzed. The internal rate of return is calculated using the IRR function MS Excel. For the case considered in the work, it will be impossible to give loans. Substantial assistance during a pandemic should be state support. The situation in which enterprises found themselves during the pandemic proved the need to develop new methods for the management and planning of medium and large transport enterprises. Currently, all models are based on outdated and inaccurate methods, which leads to significant differences between the desired and achieved results.