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Cryptocurrencies as a vehicle for capital exodus: Evidence from the Russian–Ukrainian crisis
Article
Kreuzer, Christian
, Laschinger, Ralf
, Priberny, Christopher
and Benninghoff, Sven
(2024)
Cryptocurrencies as a vehicle for capital exodus: Evidence from the Russian–Ukrainian crisis.
Finance Research Letters 69 Part B, p. 106191.
DOI to cite this document: 10.5283/epub.59320
Abstract
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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| Item type | Article | ||||
| Journal or Publication Title | Finance Research Letters | ||||
| Publisher | Elsevier | ||||
| Open Access Type | DEAL (Elsevier) | ||||
| Volume | 69 Part B | ||||
| Page Range | p. 106191 | ||||
| Date | 28 September 2024 | ||||
| Date of publication | 02 Oct 2024 08:08 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Finanzierung (Prof. Dr. Gregor Dorfleitner) | ||||
| Identification Number |
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| Classification |
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| Keywords | Decentralized finance, Cryptocurrencies, Event study, Sentiment, GJR-GARCH regressions, Russian–Ukrainian crisis | ||||
| Dewey Decimal Classification | 300 Social sciences > 330 Economics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Partially | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-593204 | ||||
| Item ID | 59320 |
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