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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
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A Neoconservative Consensus in Russia? Main Components, Factors of Stability, Potential of Erosion

Russian Social Science Review. 2020. Vol. 61. No. 3-4. P. 220–235.
Melville A. Y.
Translator: S. Patterson

This article analyzes the ideational consensus that has taken shape in contemporary Russian politics, including its key components, and factors both of stability and of potential erosion. Noting the extraordinary durability of this consensus, which is supported by factors including the duration of the regime itself, its support among elites and the bureaucracy, effective mobilizational propaganda and conservative orientations among the middle classes and dominant public opinion, the author draws attention to several factors – as yet less evident – that may in the future change the situation. Among these are the volatility of public opinion, potential intra-elite dynamics, and the internal contradictions of the neo-conservative idea itself.

Research target: Social Sciences Political Science, International Relations, and Public Administration
Priority areas: humanitarian
Language: English
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DOI
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Keywords: геополитикаконсерватизмgeopoliticsтрадиционные ценностиconservatismtraditional values“Fortress Russia” ideological battle"Крепость России"идеология борьбы
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