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Bankruptcy Risk Analysis

Student: Anastasiia Shchemerova

Supervisor: Natalia Vladimirovna Maksimova

Faculty: Faculty of Economics

Educational Programme: Economics (Bachelor)

Year of Graduation: 2020

In this study, an overview on methods of the bankruptcy risk assessment is given. The main purpose of this paper is a comparative analysis of different forecasting bankruptcy risk approaches. To achieve this goal, we elaborate using the econometric method and machine learning, the bankruptcy prediction models of the enterprise according to the financial performance into both successful and bankrupt companies. We collect financial data for the period 2018 from data base SPARK. The results may constitute a landmark for companies in substantiating decisions and in order to analyze the financial failure from at least two perspectives.

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