Analysis of the external factors influence on the forecasting of bankruptcy of Russian companies

macroeconomic indicators, raises the question of establishing the dependence of bankruptcies of Russian companies on certain external factors. Based on the experience of foreign studies, in which the importance of external factors was repeatedly proved in bankruptcy prediction models, a set of variables was formed that should be included to increase predictive ability. Using an empirical base that includes 716 construction companies (340 bankruptcies), 702 manufacturing companies (339 bankruptcies), 713 trading companies (334 bankrupt-cies), using the binary choice models, bankruptcy prediction models were constructed, in-cluding two variable blocks: internal and external factors. External factors affecting bankruptcies of Russian companies include GDP growth, key rate, rate/increase in US dollar / euro rate, consumer price index, growth in MICEX index, and unemployment rate. The inclusion of variables characterizing external factors into the model significantly increased the explanatory capacity of the model compared to models based only on internal factors. The results can be used by companies to improve accuracy of forecasting bankruptcy probabilities, taking into account the macroeconomic context. In addition, the results of the study can be used by public authorities. Since the regulation of some of these external factors lies at the heart of the coun-try’s monetary policy, the state has the ability to influence not only macroeconomic processes, but also the health of Russian companies.