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October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
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The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Downside Market Risk: A Key Determinant of Cryptocurrency Returns

Экономическая политика. 2025. Т. 20. № 1. С. 30–55.
Kuslyaikin A.

This paper is one of the first studies to investigate how downside market risk affects cryptocurrency returns. Based on weekly data for more than 900 cryptocurrencies from 2014 to 2018, downside market risk is considered in three different forms as it arises in the cryptocurrency market, the aggregate alternative investment market, and the stock market. The empirical part of the study employs regression analysis applied to each of three definitions of market risk. First, individual cryptocurrency betas are obtained with a rolling window approach. Second, factor portfolios are constructed based on individual betas to test factor strategies. Third, cross-sectional analysis is used to estimate risk premiums. The conclusion is that cryptocurrency returns are very sensitive to cryptocurrency market drops and insensitive to the dynamics of other financial assets. Downside market risk has a positive and significant effect on cryptocurrency returns, a result which is valid for both individual-instrument and portfolio investment. However, the effects of downside market risk for cryptocurrencies are not offset by any other risk factors, and the key conclusion to be drawn is that high cryptocurrency returns are fair compensation for elevated downside risk. A three-factor model that incorporates a downside market risk factor along with SMB and WML factors was the most useful of those considered, as it explained more than half of cross-sectional returns and surpassed other established models. These results may be useful for daily cryptocurrency trading as well as for further study of cryptocurrency returns. 

Language: Russian
DOI
Text on another site
Keywords: рыночный рискдиверсификацияdiversificationmarket riskфакторные моделиalternative investmentsальтернативные инвестицииcryptoassetsкриптоактивы Factor models
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