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  • Достаточность залогового обеспечения как инструмент контроллинга кредитных рисков
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Достаточность залогового обеспечения как инструмент контроллинга кредитных рисков

С. 209–215.
Khon O. D.

The study reveals collateral requirements, throughout LTV ratio, within credit risk's controlling. The new approach to identify LTV deviations from its median on the group level as a reference point - alarm indicator is presented. This indicator serves to alarm banks to incorporate particular borrower to the so-called Watch list. These alarm indicators should be arranged only based on the empirical interlinkage of collateral and credit risk. Portfolio of bank corporate loans, issued from 2006 to 2017 on the Russian market, performs as research input data.

Language: Russian
Keywords: кредитный рискcredit riskбанковский кредитcollateralзалоговое обеспечениеloan-to-valueкредит/залогcollateral requirementsbank loanдостаточность залога

In book

Контроллинг в экономике, организации производства и управлении: экологические аспекты: материалы VIII международного конгресса по контроллингу, под научной редакцией д.э.н., профессора Фалько С.Г., Нижний Новгород, 18 мая 2018 года / НП «Объединение контроллеров» - Москва: Изд-во НП «Объединение контроллеров», 2018. – 253 с.: ил.
НП «Объединение контроллеров», 2018.
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