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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Marina Kartashova
Modeling Probability of Enterprises Bankruptcy: Comparative Analysis of Methods
Economics
(Bachelor’s programme)
10
2019
This project refers to some critical concepts pertaining to the sphere of corporate bankruptcy. At present hundreds of Small and Medium Enterprises (SME’s) are falling a victim to the harsh realities of a volatile financial sector. The central question is what exactly involves company’s insolvency. The purpose of this study is to develop a model for bankruptcy prediction, which most accurately estimate the enterprise’ failure. To define the strongest predictive model it is supposed to use a sample consisting of both financial and non-financial indicators from 2014 to 2018, which influence to bankruptcy probability. During the study, a logistic regression model and a two-layer neural network model were developed. At first glance, the results are similar to previous studies, however the uncertainty still remain.

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