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Russia and CIS Companies Bankruptcy Prediction for Specific Economic Sectors

Student: Varganov Georgiy

Supervisor: Elena Y. Makeeva

Faculty: Faculty of Economic Sciences

Educational Programme: Economics (Bachelor)

Final Grade: 8

Year of Graduation: 2017

Current diploma thesis is oriented on most accurate and modern methods in bankruptcy prediction of Russian and CIS companies. Moreover, there is a goal to define most important and substantial factors (non-financial and external ones). Data set represents different regions and industries. Prediction and estimation of the models are fulfilled for each of the industries separately taking into consideration specific features. Finally, there were developed best prediction models with the use of artificial neural networks and logit-regression.

Full text (added May 23, 2017)

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