Tsesliv, O. V.Dunaieva, T. A.Yereshko, Ju. O.Tsesliv, O. S.2024-12-052024-12-052024Study on the profitability of agricultural enterprises in Ukraine during the russian military invasion of Ukraine / Tsesliv O. V., Dunaieva T. A., Yereshko Ju. O., Tsesliv O. S. // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2024. – № 1. – С. 62-74. – Бібліогр.: 25 назв.https://ela.kpi.ua/handle/123456789/71029This paper examines the effectiveness of grouping agricultural enterprises according to the wheat harvested area and assesses their profitability. We have developed linear and non-linear regression equations to predict the income for said groups of enterprises. The methodology is designed for cases when future market prices are probabilistic in nature. With the help of the developed methodology, it is possible to calculate the necessary production volumes in the conditions of price fluctuations. We have used the Goldfeld–Quandt parametric test to test the model for heteroscedasticity. Calculations show that agricultural holdings are indeed inefficient, and preference should be given to enterprises with medium crop areas. Application of the Lagrange multipliers method when solving the problem of agricultural enterprise optimization makes it possible to increase profitability. The case of price risk, when future market prices are not deterministic, is considered. Therefore, it is necessary to be guided by two criteria when making managerial decisions: to maximize the expected total net income and to minimize the variance of the total net income.eneconomic and mathematical modelsheteroscedasticitymodels of regression analysisprofitabilityincomelinear regressionnonlinear modelfull-scale russian invasion of Ukraineекономіко-математичні моделігетероскедастичністьмоделі регресійного аналізуприбутковістьдохідлінійна регресіянелінійна модельповномасштабне вторгнення росії в УкраїнуArticleС. 62-74https://doi.org/10.20535/SRIT.2308-8893.2024.1.05338.3:330.460000-0002-8190-25020000-0001-8104-78360000-0002-9161-88200000-0002-8602-4673