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  • Кредитные рейтинги российских банков и отзывы банковских лицензий 2012-2016 гг.
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News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Кредитные рейтинги российских банков и отзывы банковских лицензий 2012-2016 гг.

Журнал Новой экономической ассоциации. 2017. Т. 4. № 36. С. 49–80.
Живайкина А. Д., Peresetsky A.

We consider 11 credit ratings of Russian banks, assigned by international and Russian rating agencies during 2012—2016. Econometric models of these ratings designed on the public information reveal difference in the approaches of the rating agencies to the Russian bank ratings. We also design econometric models of the Russian bank defaults, where we consider default as the bank license withdrawal by the Bank of Russia. Using these models we analyze to what extent rating agencies take into account probability of the license withdrawal in short-run period and if Central Bank of the Russian Federation decisions are related to the bank ratings. We found that the international and domestic rating agencies have different attitudes to the various reasons of the bank license withdrawal formulated in the Bank of Russia orders. Models of the ratings of agencies S&P, Moody’s, and Russian rating «Expert RA» show better performance than other rating models in the prediction of bank licenses withdrawals. Thus these ratings are more close to the purposes of the Bank of Russia. However binary choice models constructed by the historical data of bank licenses withdrawals beat rating models in the prediction of bank licenses withdrawals.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Full text
Keywords: банкиРоссиярейтинговые агентстваRussian economybankscredit ratingsкредитные рейтингимодели рейтинговмодели дефолта банковrating modelsThe Central Bank of the Russian Federationrating agencymodels of bank defaultsЦентральный банк РФ
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