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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.
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Extreme connectedness between cryptocurrencies and non-fungible tokens: portfolio implications

Financial Innovation. 2024. Vol. 10. Article 71.
Mensi W., Gubareva M., Al-Yahyaee K. H., Teplova T., Kang S. H.

We analyze the connectedness between major cryptocurrencies and nonfungible tokens (NFTs) for different quantiles employing a time-varying parameter vector autoregression approach. We find that lower and upper quantile spillovers are higher than those at the median, meaning that connectedness augments at extremes. For normal, bearish, and bullish markets, Bitcoin Cash, Bitcoin, Ethereum, and Litecoin consistently remain net transmitters, while NFTs receive innovations. However, spillover topology at both extremes becomes simpler—from cryptocurrencies to NFTs. We find no markets useful for mitigating BTC risks, whereas BTC is capable of reducing the risk of other digital assets, which is a valuable insight for market players and investors.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: криптовалютыневзаимозаменяемые токены cryptocurrenciesnonfungible tokensextreme quantile connectednessTime‑varying parameter vector autoregressionTVP-VAR approachсвязанность в крайних квантиляхTVP-VAR подходВекторная авторегрессия с изменяющимися во времени параметрами
Publication based on the results of:
Modelling the behavior of financial assets in the situation of the new normality (2024)
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