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  • Электоральная неопределенность и рынки криптовалют: квантильный и изменяющийся во времени анализ с использованием индикаторов на основе СМИ
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Subject
News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
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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Электоральная неопределенность и рынки криптовалют: квантильный и изменяющийся во времени анализ с использованием индикаторов на основе СМИ

Journal of Applied Economic Research. 2026. Т. 25. № 3. С. 853–878.
Кореневский В. В.

U.S. presidential elections represent a key source of political uncertainty that influences financial market dynamics and investor expectations. However, the impact of presidential elections and related news on cryptocurrency price movements remains underexplored, despite the emergence of select empirical studies on this topic. This study aims to assess the relationship between returns and volatility of major cryptocurrencies and the author-developed electoral uncertainty index, VYTIndex, constructed using titles of video publications by news outlets on the YouTube platform over the period 2015–2025. The index is built in two stages: first, a daily sentiment index is calculated as the difference between the number of positive and negative videos; second, conditional volatility is estimated from its dynamics using a GARCH(1,1) model, interpreted as the level of electoral uncertainty. The paper tests two hypotheses: (1) that upper quantiles of the VYTIndex are associated with increased cryptocurrency volatility and reduced returns, and (2) that this index may serve as a shock transmission channel within a system of the ten largest crypto assets. The analysis employs quantile-on-quantile regression to evaluate dependencies across different quantiles of return and volatility distributions, and a time-varying parameter vector autoregression (TVP-VAR) model to investigate dynamic directional connectedness. Results reveal pronounced nonlinearity and heterogeneity in the impact of VYTIndex: for several altcoins, rises in the upper quantiles of the index coincide with heightened volatility, whereas for Bitcoin and stablecoins the reaction is closer to neutral. Moreover, across most periods, the index acts primarily as a receiver rather than a source of market shocks. The theoretical contribution of this research lies in advancing approaches to measuring political uncertainty as variability of sentiment in the media space and in evaluating the role of electoral shocks in cryptocurrency markets; its practical value consists in the potential use of VYTIndex for risk assessment and for designing arbitrage and hedging strategies during pre- and post-election periods of instability.

Research target: Economics and Management
Language: Russian
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Keywords: sentiment analysisсентимент-анализкриптоактивыкриптовалютный рынок cryptocurrency marketcrypto assetselectoral uncertaintyU.S. presidential electionsuncertainty indexэлекторальная неопределённостьпрезидентские выборы СШАиндекс неопределённости
Publication based on the results of:
Models and methods for identifying patterns in global and national financial markets (2025)
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