title: ÐÐµÑÐ¾Ð´Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¿ÑÐµÐ´ÑÐ¿ÑÐµÐ¶Ð´ÐµÐ½Ð¸Ñ Ð±Ð°Ð½ÐºÑÐ¾ÑÑÑÐ²Ð° Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Methods of forecasting and preventing enterprise bankruptcy
Creators: name: ÐÐ¿Ð¸ÑÐµÐ½ÐºÐ¾, ÐÐ½Ð³ÐµÐ»Ð¸Ð½Ð°
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 Ð±Ð°Ð½ÐºÑÐ¾ÑÑÑÐ²Ð°
ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ðµ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ðµ
Ð´Ð¸ÑÐºÑÐ¸Ð¼Ð¸Ð½Ð°Ð½ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð±Ð°Ð½ÐºÑÐ¾ÑÑÑÐ²Ð°
bankruptcy forecasting
financial condition
discriminant analysis
bankruptcy forecasting model

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description: The purpose of the work is to study theoretical and practical issues related to the analysis of financial and economic activities of the organisation, as well as the development of a sectoral model for predicting bankruptcy of enterprises in the construction industry. The following tasks were solved: - the concept, signs and causes of bankruptcy are investigated. The normative-legal regulation of the establishment of bankruptcy of enterprises in the Russian Federation is considered; - studied the main foreign and domestic methods and models used to assess the probability of bankruptcy of the enterprise. The peculiarities of the construction industry of the Russian Federation have been investigated; the solvency of enterprises in this sphere has been analysed by existing methods; - the branch model of forecasting bankruptcy of enterprises in the construction sector was developed and tested. The relevance of the topic is due to the need to develop a sectoral model of predicting the bankruptcy of enterprises in the construction industry, as universal models of bankruptcy forecasting can not be effectively used due to the specifics of construction business Sources of information were data from the SPARK system. The data were analysed and processed using MS Office package (Excel). Calculations were carried out in the SPSS Statistics programme. The scientific novelty of this work consists in the development of a model for predicting the bankruptcy of enterprises in the construction industry, the predictive accuracy of which is 81.7%, which indicates the effectiveness of the model. The practical significance of the work is that the use of the authors model as an auxiliary tool for assessing the possible risk of bankruptcy of construction companies is promising. Also, by changing the weighting coefficients this model can be applied in other areas of the economy.