title: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð¹ Ð½ÐµÑÐ¾ÑÑÐ¾ÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ð¹ Ð¼Ð°Ð»Ð¾Ð³Ð¾ Ð¸ ÑÑÐµÐ´Ð½ÐµÐ³Ð¾ Ð±Ð¸Ð·Ð½ÐµÑÐ° Ð² ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Modeling of financial insolvency of small and medium-sized enterprises in the context of state support
Creators: name: ÐÐ¾ÑÐ¿ÐµÐ»Ð¾Ð²Ð°, ÐÐ»ÐµÐºÑÐ°Ð½Ð´ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð¹ Ð½ÐµÑÐ¾ÑÑÐ¾ÑÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸
Ð°Ð½ÑÐ°Ð¼Ð±Ð»ÐµÐ²ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ
Ð¾ÑÐµÐ½ÐºÐ° ÑÐ¸ÑÐºÐ°
ÑÐ¾ÑÐ½Ð¾ÑÑÑ
forecasting of financial insolvency
ensemble methods
risk assessment
accuracy

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description: The subject of graduate qualification work is the study of methods of forecasting the financial insolvency of small and medium-sized businesses in order to improve the effectiveness of state support. The purpose of the work is to build a model of financial insolvency forecasting and develop recommendations for the implementation of an automated system. In accordance with the set goal, the following tasks were solved in the course of the research: - theoretical foundations of financial insolvency forecasting was analyzed; - forecasting models were developed and trained using machine learning algorithms; - recommendations on implementation of the automated system were developed. Data analysis was carried out using machine learning methods in the Python programming language in a specialized environment Google Colaboratory. Models for forecasting financial insolvency of small and medium-sized enterprises were built and recommendations for building an automated system based on these models were developed. The results of the work can be used by state entrepreneurship support funds and other organizations engaged in financial support of SMEs.