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Enterprise Financial Stability Forecasting Model Design

Student: Zenkina Anzhelika

Supervisor: Marina V. Radionova

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Business Informatics (Bachelor)

Final Grade: 9

Year of Graduation: 2018

Graduation qualification work "Enterprise Financial Stability Forecasting Model Design". Author: Anzhelika Eduardovna Zenkina, 4th year student of the Faculty of Economics, Management and Business Informatics, Business Informatics, Department of Information Technologies in Business. At the moment, the search and development of methods for an enterprise stability assessment in financial terms are considered to be the most relevant topics of modern business practices and economic theory. Many ways have already been tested to solve this issue, but almost all of them require a large amount of data, that is not applicable for small and medium businesses. In this work, the application for financial stability of company N, a representative of medium-sized businesses, on the basis of short-term data is developed. The application is based on a model of externally unrelated regressions for estimating the financial stability coefficient, as well as a regression model for estimating the same coefficient and discriminant analysis model for estimating the probability of bankruptcy as a particular case of financial stability. The work contains 50 pages of main text, 4 applications. The bibliography contains 16 items.

Full text (added May 24, 2018)

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