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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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Are REITS hedge or safe haven against oil price fall?

International Review of Economics and Finance. 2024. Vol. 89. P. 1–16.
Hanif W., Andraz J. M., Gubareva M., Teplova T.

This paper studies the hedge against falling oil prices and the safe haven properties of fourteen major country-specific real estate investment trusts (REITs) indices for the Asian, American, European, and worldwide geographies. Our analyses are performed from both, returns and conditional volatility perspectives. Our sample spans from January 2016 until August 2022, covering the COVID-19 pandemics and the ongoing Russia-Ukraine military conflict. We find that during COVID-19, only the Japan REITs, in terms of both returns and volatility, act as a hedge for oil whereas the only hedge during the Russia-Ukraine conflict is the Netherland
REITs. In addition, we document diverse degrees of safe-haven and diversifiers properties for REITS from diverse geographies along the full sample and the respective sub-samples for both bearish conditions and elevated volatility in the oil market. Our results imply that market regulators should focus on controlling volatility in crude oil and REITs markets, especially throughout times of financial distress, as daily return volatility monitoring is a pivotal requirement for optimized investment management. Our study provides important knowledge for investors, policymakers, and market regulators.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: хеджирование oilнефтьhedgeCOVID-19 pandemicпандемия COVID-19Safe havenREITsИнвестиционный фонд недвижимостиconditional volatilityусловная волатильностьактивы-убежищаinvestment returnsдоходность от инвестиций
Publication based on the results of:
Analysis of the behavior of financial assets under the influence of exogenous factors (2023)
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