INFORMATION TECHNOLOGIES IN FORECASTING THE RISK OF BANKRUPTCY OF AGRICULTURAL ORGANIZATIONS IN THE REGION
Issue № 6, 2022, article № 15, pages 95-99
Section: Problems of agroeconomic researches
Original language title: ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ПРИ ПРОГНОЗИРОВАНИИ РИСКА БАНКРОТСТВА СЕЛЬСКОХОЗЯЙСТВЕННЫХ ОРГАНИЗАЦИЙ РЕГИОНА
Abstract: Early diagnosis of the risk of bankruptcy of any organization, including the organization of the agro-industrial complex, is one of the most significant and important problems that require a balanced approach and solution. In modern conditions, the central problem in the Russian economy is the insolvency of organizations. To predict the financial condition of organizations, models for assessing the likelihood of bankruptcy are used. However, in order to achieve higher accuracy of results, it is advisable to constantly adjust the set of indicators and the values of the coefficients of weight influence of each indicator, taking into account industry specifics. To this end, it is necessary to constantly monitor the financial condition of organizations, which will allow building models for forecasting bankruptcy that are adequate for Russian conditions, allowing for reliable and objective results. The work presents the results of an analysis of the financial condition of agricultural organizations of the Ulyanovsk region using information technologies. At the current stage, approaches and methods that make it possible to assess the likelihood of bankruptcy in advance, predict the onset of financial insolvency of the enterprise are of great interest. The main existing models for predicting the likelihood of bankruptcy, their advantages and disadvantages in relation to agricultural organizations in the region are considered, which generally allows for a comprehensive assessment of their activities.