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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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Стресс-тестирование нефинансовых организаций: подход к обратной задаче на основе аналитического решения

Проблемы управления. 2021. № 6. С. 15–29.
Богомолов А. С., Dvoryashina M. M., Дранко О. И., Кушников В. А., Резчиков А. Ф.

This paper considers an approach to stress testing of nonfinancial organizations. It includes the problem statement and a methodology for solving the reverse problem. The mathematical model is based on open-source data (the financial statements of companies). The relevance of this approach is increasing due to different-nature crises (economic crisis, the COVID-19 pandemic, etc.). The resilience of companies (especially “backbone” ones) to shock situations is tested, and preventive management measures are developed. The direct problem statement involves determining the company’s financial model parameters that ensure a nonnegative level of cash balance in the forecast period. The reverse problem is to find the characteristics of the financial and economic state of the enterprise that correspond to different critical combinations of its financial result parameters. We develop an original stress-testing methodology that significantly reduces the labor intensity and computational complexity compared to stress-testing technologies for financial institutions. A new analytical model is used. The model results are illustrated by an example: stress testing of a backbone enterprise in the real economy sector, which was significantly affected by restrictive measures in the COVID-19 pandemic. Model calculations employ open data from the organization’s financial statements.

Research target: Economics and Management
Language: Russian
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Keywords: стресс-тестированиеbusiness modelingStress-testing28.17.31 Моделирование процессов управленияметоды риск-менеджментаanalysis and risk managementoperational efficiencyпланирование и операционная эффективность
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