Subject. This article discusses forecasting the bankruptcy probability for key coal industry enterprises in Russia. Objectives. The article aims to find or develop an effective method for assessing the bankruptcy probability for Russian coal industry city-forming enterprises, with a high predictive power of over 80 percent. Methods. For the study, we used the methods of analysis and synthesis, comparison, coefficient method, MDA and logit models, decision tree. Results. The article examines well-known bankruptcy probability models for their applicability to key coal mining enterprises in Russia. It also studies author-developed models using three different modeling techniques, and assesses them. Conclusions. The application of various modeling techniques leads to the selection of the same financial ratios as significant variables for bankruptcy in leading coal industry enterprises. The presented author-developed models are capable of predicting bankruptcy of coal companies in the short term with high accuracy, but only retrospectively. To assess future risks, it is necessary to use a combination of quantitative and qualitative methods.
Keywords: bankruptcy probability assessment, city-forming enterprises, coal industry, MDA models, predictive power
References:
Yuzvovich L.I., L'vova M.I., Kabakov A.I. [Investment potential of the Russian oil and gas industry]. Natsional'nye interesy: prioritety i bezopasnost', 2025, vol. 21, iss. 9, pp. 174–187. (In Russ.) DOI: 10.24891/dhmpto EDN: DHMPTO
Sal'kina A.R., Dranitsyna E.G., Kuznetsova T.E. et al. [Analysis of the geopolitical impact on the export policy of Russian coal]. Ugol', 2025, no. 9, pp. 67–70. (In Russ.) DOI: 10.18796/0041-5790-2025-9-67-71 EDN: IGWUFT
Blokhin A.A., Sergeev Yu.V. [Monitoring of large businesses adaptation to the shocks of 2022 and beyond]. Nauchnye trudy: Institut narodnokhozyaistvennogo prognozirovaniya RAN, 2025, vol. 23, no. 1, pp. 111–139. (In Russ.) DOI: 10.47711/2076-3182-2025-1-111-139 EDN: UZHJEE
Bogachev D.V. [Programmatic financial and organizational solutions for the support and development of the Russian coal industry]. Vestnik Akademii znanii, 2025, no. 3, pp. 554–557. (In Russ.) EDN: XKVAUC
Abuzov A.Yu., Berdnikova L.F. [Restructuring the coal industry: Economic and environmental priorities]. Ugol', 2025, no. 7, pp. 50–53. (In Russ.) DOI: 10.18796/0041-5790-2025-7-50-53 EDN: WOQFJS
Sal'kina A.R., Grabozdin Yu.P., Dranitsyna E.G. et al. [The dynamics of the coal industry's export policy in Russia]. Ugol', 2025, no. 9, pp. 62–66. (In Russ.) DOI: 10.18796/0041-5790-2025-9-62-66 EDN: YBPARK
Sedova N.V., Kulabukhova M.V. [Modeling the economic security state of non-ferrousmetallurgy enterprises]. Natsional'nye interesy: prioritety i bezopasnost', 2025, vol. 21, iss. 9, pp. 126–139. (In Russ.) DOI: 10.24891/fjuvir EDN: FJUVIR
Kulai S.V., Shvakov E.E. [Methodology development to predict the probability of bankruptcy for coal mining enterprises]. Modern Economy Success, 2022, no. 1, pp. 91–99. (In Russ.) EDN: OBVVWC
Stel'makh V.S. [Methodological aspects of predicting the probability of bankruptcy on the example of pharmaceutical companies]. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz, 2019, vol. 12, iss. 2, pp. 115–127. (In Russ.) DOI: 10.15838/esc.2019.2.62.7 EDN: CPIPMY
Adylbekova A.N. [Economic-mathematical model of management of financial stability of the coal companies on the basis of decrease in probability of bankruptcy]. Gornyi informatsionno-analiticheskii byulleten', 2012, no. S1-1. EDN: SBKDYN
Kulai S.V., Shvakov E.E. [Development of MDA and logit models to predict bankruptcy probability for Russian coal enterprises]. Ekonomicheskii analiz: teoriya i praktika, 2025, vol. 24, iss. 3, pp. 194–216. (In Russ.) DOI: 10.24891/ea.24.3.194 EDN: QJGZIN
