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Разработка системы раннего предупреждения банкротства ÐºÐ¾Ð¼Ð¼ÐµÑ€Ñ‡ÐµÑÐºÐ¸Ñ Ð±Ð°Ð½ÐºÐ¾Ð²

выпускная квалификационная работа магистра

Разработка системы раннего предупреждения банкротства ÐºÐ¾Ð¼Ð¼ÐµÑ€Ñ‡ÐµÑÐºÐ¸Ñ Ð±Ð°Ð½ÐºÐ¾Ð²

Abstract

Тема выпускной квалификационной работы: «Разработка системы раннего предупреждения банкротства коммерческих банков». Данная работа посвящена комплексному исследованию, а также разработке модели прогнозирования вероятности банкротства кредитной организации, в условиях цифровой трансформации современного общества. Задачами, которые решилась, в ходе исследования являются: 1) изучить теоретико-методические аспекты исследования банкротства коммерческих банков; 2) провести комплексную оценку финансовой устойчивости коммерческих банков; 3) разработать модель прогнозирования вероятности банкротства коммерческих банков; 4) предложить интерпретацию полученных результатов и разработка рекомендаций. Работа выполнена на материалах банковского сектора экономики РФ, развитие которого анализировалась с использованием различных общенаучных и специфических методов исследования. Была проведена оценка особенностей управления рисками банкротства на основе метода сравнительного анализа, который позволила выявить основные недостатки в рассматриваемом направлении. В результате проведенного исследования была предложена модель прогнозирования вероятности банкротства коммерческих банков, разработан план внедрения в деятельность коммерческий банков, а также, а также проведена оценка экономической целесообразности ее использования в практической деятельности банковской организации.

The theme of the final qualification work: «Development of an early warning system for the bankruptcy of commercial banks». This work is devoted to a comprehensive study, as well as the development of a model for predicting the probability of bankruptcy of a credit institution, in the context of the digital transformation of modern society. The tasks that were solved in the course of the study are: 1) to study the theoretical and methodological aspects of the study of the bankruptcy of commercial banks; 2) conduct a comprehensive assessment of the financial stability of commercial banks; 3) develop a model for predicting the probability of bankruptcy of commercial banks; 4) propose an interpretation of the obtained results and develop recommendations. The work is based on the materials of the banking sector of the Russian economy, the development of which was analyzed using various general scientific and specific research methods. An assessment was made of the features of bankruptcy risk management based on the method of comparative analysis, which made it possible to identify the main shortcomings in this direction. As a result of the study, a model for predicting the probability of bankruptcy of commercial banks was proposed, a plan for implementation in the activities of commercial banks was developed, and an assessment of the economic feasibility of its use in the practical activities of a banking organization was carried out.

Keywords

банкротство, rationality, банки, рациональность, stability, banks, стабильность, bankry, экономика, economy, efficiency, эффективность, развитие, development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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