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Система раннего предупреждения банкротства банков: выявление ÐºÐ»ÑŽÑ‡ÐµÐ²Ñ‹Ñ Ð¸Ð½Ð´Ð¸ÐºÐ°Ñ‚Ð¾Ñ€Ð¾Ð²

выпускная квалификационная работа магистра

Система раннего предупреждения банкротства банков: выявление ÐºÐ»ÑŽÑ‡ÐµÐ²Ñ‹Ñ Ð¸Ð½Ð´Ð¸ÐºÐ°Ñ‚Ð¾Ñ€Ð¾Ð²

Abstract

Целью выпускной квалификационной работы является анализ существующих методик прогнозирования банкротства кредитных организаций, а также разработка и применение авторской методики прогнозирования банкротства банков на ранних стадиях. Для достижения поставленной цели было определено понятие банкротства, проанализированы методики прогнозирования банкротства коммерческого банка, изучено положение банковской отрасли на современном этапе и разработана авторская методика прогнозирования банкротства коммерческого банка посредством применения эконометрической модели Tobit. Предлагаемая методика раннего предупреждения банкротства банков была апробирована на действующих и обанкротившихся коммерческих банках. В конечном счете, в ходе разработки и апробации методики была выявлена ее адекватность, высокая результативность и легкость в применении.

The purpose of the final qualifying work is the analysis of existing methods for predicting bankruptcy of credit institutions, as well as the development and application of the author’s methodology for predicting bank failures in the early stages. To achieve this goal, the concept of bankruptcy was defined, methods for predicting bankruptcy of a commercial bank were analyzed, the status of the banking industry at the current stage was studied, and the author’s methodology was developed to predict the bankruptcy of a commercial bank using the Tobit econometric model. The proposed method of early warning of bankruptcy of banks was tested on existing and failed commercial banks. Ultimately, during the development and testing of the methodology, its adequacy, high performance and ease of use were revealed.

Keywords

коммерческий банк, статистическая модель, цензурированная модель, банкротство, комплексная методика, модели прогнозирования, рейтинг

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citations
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!
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Average
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