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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Mariya Khandarzyanova
Modeling Assessment of Enterprise Financial Condition
Business Informatics
(Bachelor’s programme)
2019
This paper describes the methods of analysis and evaluation of the financial condition of the enterprise, the construction of a neural network to predict the financial condition, as well as an assessment of the effectiveness of the constructed model.

This work includes 64 pages, 5 images and 33 tables.

The work consists of three chapters. The first chapter includes an overview of existing methods of analysis and assessment of the financial condition of the enterprise.

The second chapter includes a detailed description of the models selected for comparison and a methodology for constructing a logit model and a neural network for forecasting the financial condition of the enterprise.

The third chapter describes the construction of logit-model and neural network to predict the financial condition of the enterprise, as well as a comparison of models.

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