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  • Development and Estimation of Models of Corporate Bankruptcy Prediction under the Conditions of Technical Default

Development and Estimation of Models of Corporate Bankruptcy Prediction under the Conditions of Technical Default

Student: Oreshkina Ekaterina

Supervisor: Elena Ryabova

Faculty: Faculty of Economics

Educational Programme: Finance (Master)

Year of Graduation: 2018

Nowadays there are many different ways and models of estimation of financial condition of a company, its inconsistency, the aim of which is to create the recommendation how to avoid crisis situation. Despite the great amount of such works, the question concerning the bankruptcy under condition of technical default has not been answered yet. It is a reason of a choosen theme. The aim of the research is a development and estimation of a model of Corporate Bankruptcy Prediction under the Conditions of Technical Default. In the condition of such a theme we need to solve the problems: to carry out the overview of the researches devoted to a problem of modeling of probability of bankruptcy; to develop a model of Corporate Bankruptcy Prediction and to test it on the available selection; to formulate the recommendations` set, promoting to decrease the probability of bankruptcy in the conditions of a technical default. The object of research are the Russian companies issuing bonds. The subject of research is the probability of bankruptcy in the conditions of a technical default. The work touches the questions connected with the analysis of a financial condition of the enterprises, classification of techniques and also construction and approbation of the models allowing to estimate probability of emergence of bankruptcy of the companies in the conditions of a technical default are considered. The developed and approved model allowes to calculate a probability of bankruptcy in the conditions of a technical default The question studied in this research is sharp and relevant for the Russian companies, besides, this work has the big practical importance and high potential for further researches in the sphere of assessment of probability of approach of a default.

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