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Cryptocurrencies as a vehicle for capital exodus: Evidence from the Russian–Ukrainian crisis
Kreuzer, Christian
, Laschinger, Ralf
, Priberny, Christopher
und Benninghoff, Sven
(2024)
Cryptocurrencies as a vehicle for capital exodus: Evidence from the Russian–Ukrainian crisis.
Finance Research Letters 69 Part B, S. 106191.
Veröffentlichungsdatum dieses Volltextes: 02 Okt 2024 08:08
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.59320
Zusammenfassung
Cryptocurrencies provide an escape from the conventional financial system and its regulations and could therefore become increasingly popular in the midst of geopolitical uncertainties. We analyze the linkage of the Russia–Ukraine conflict and the trading volume of 16 major cryptocurrencies via event study methodologies, based on a geopolitical risk index. The results show that the trading volume ...
Cryptocurrencies provide an escape from the conventional financial system and its regulations and could therefore become increasingly popular in the midst of geopolitical uncertainties. We analyze the linkage of the Russia–Ukraine conflict and the trading volume of 16 major cryptocurrencies via event study methodologies, based on a geopolitical risk index. The results show that the trading volume of most cryptocurrencies is positively affected by the events of the conflict. This is especially true for payment tokens and most utility coins. Interestingly, stablecoins show only fewer trading volumes before the actual event. Among utility tokens, Ripple in particular is positively influenced.
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Details
| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Finance Research Letters | ||||
| Verlag: | Elsevier | ||||
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| Band: | 69 Part B | ||||
| Seitenbereich: | S. 106191 | ||||
| Datum | 28 September 2024 | ||||
| Institutionen | Wirtschaftswissenschaften > Institut für Betriebswirtschaftslehre > Lehrstuhl für Finanzierung (Prof. Dr. Gregor Dorfleitner) | ||||
| Identifikationsnummer |
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| Klassifikation |
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| Stichwörter / Keywords | Decentralized finance, Cryptocurrencies, Event study, Sentiment, GJR-GARCH regressions, Russian–Ukrainian crisis | ||||
| Dewey-Dezimal-Klassifikation | 300 Sozialwissenschaften > 330 Wirtschaft | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Zum Teil | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-593204 | ||||
| Dokumenten-ID | 59320 |
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