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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Фондовый рынок и распределение материального богатства

Вестник Российского экономического университета им. Г.В. Плеханова. 2012. № 1. С. 15–20.
Galanov V. A., Galanova A.
Priority areas: economics
Language: Russian
Keywords: товарный рынокценные бумагифондовый рынокфинансовый рынокрынок капиталассудные отношенияматериальное богатствоперераспределениеразвитые страны
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В аналитической записке обсуждается долгосрочно устойчивый уровень цены на российскую нефть. Это тот уровень, к которому цена нефти, вероятнее всего, будет тяготеть в долгосрочной перспективе. Потребность в его определении возникает по нескольким причинам. Во-первых, цена на нефть остается одним из ключевых экономических показателей российской экономики, определяющих экспорт, обменный курс рубля, прибыль, доходы и расходы бюджета, ...
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Динамическая взаимосвязь объемов торгов и сентимента частных инвесторов российского фондового рынка с Биткоином в периоды внешних шоков
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The paper analyses the dynamic connectedness between trading volumes in the Russian stock market and the global cryptocurrency (Bitcoin) market during periods of external shocks (the COVID‑19 crisis and the Russia‑Ukraine conflict) from 2019. Using the TVP‑VAR model and estimates of system variable connectivity, liquidity spillovers (cash flows) are identified between the considered asset classes. For the first time, we analyse the network connectedness of investor sentiment for the most popular Russian stocks and Bitcoin and estimate the role of sentiment in liquidity spillovers. The  results  demonstrate  that  Bitcoin’s  daily  trading  volume  predominantly  acts  as  a  recipient of shocks from the Russian stock market. Meanwhile, the overall coherence in the system was higher during the COVID‑19 crisis period compared to the Special Military Operation (SMO). The study confirms the existence of a correlation between investor sentiment on the Russian stock and cryptocurrency markets. At the beginning of the analyzed period,in 2019, when interest in crypto assets investing began to grow rapidly, this correlation was strongly pronounced. There is a connectedness between two sentiment indices: on the stock market and crypto‑assets. The  intensity  of  the  correlation prevails  in  the  COVID‑19  inception  period,  significantly  exceeding the level observed in the SMO period. This sentiment metrics behaviour may imply adaptation of the Russian stock market to external shocks, as well as retail investors’ expectations of short‑term SMO in early 2022. ...
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Numerous studies in the field of forecasting securities prices, particularly stock prices, are aimed at finding more accurate and effective models. However, attention to multivariate forecasting, which allows for more accurate forecasts, remains underappreciated, as its implementation requires a significant increase in computing resources. Therefore, the selection of more simplified yet effective models is relevant. ...
Added: February 3, 2026
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Added: February 3, 2026
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Antsygina A., Teteryatnikova M., Tremewan J. C. et al., / Series "SSRN Working Paper Series". 2025.
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Added: January 31, 2026
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The study explores a psychological phenomenon of inaction inertia-avoiding action after missing a more favourable opportunity. Unlike action inertia (e.g.,sunk costs effect), inaction inertia has been less studied, particularly in economic contexts. Considering the reference dependent nature of the phenomenon, I build on the work of Kőszegi and Rabin (2006) to examine how past experiences ...
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Kuchumova (Paramonova) Y. A., Ozhegova A., Зорина К. С., / Series SSRN "Available at SSRN 6108727". 2026.
Simplified tax regimes with explicit eligibility thresholds are a common tool which reduces tax burden but distorts firms’ behavior, creating local bunching just below the threshold. However, we show that when firms have access to business splitting their responses extend far beyond the local margin. Our model demonstrates that splitting reduces local bunching but amplifies ...
Added: January 21, 2026
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In recent years, an emerging body of empirical research has shown that tax audits, in addition to recovering unpaid taxes (direct effect), increase future tax compliance (indirect or dynamic effect). This literature also suggests that updating expectations induced by audit experience plays an important role in explaining this indirect effect. However, exactly how taxpayers form ...
Added: January 21, 2026
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