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| dc.contributor.author | Bielinskyi, Andrii O. | |
| dc.contributor.author | Serdyuk, Oleksandr A. | |
| dc.contributor.author | Семеріков, Сергій Олексійович | |
| dc.contributor.author | Соловйов, Володимир Миколайович | |
| dc.contributor.author | Білінський, Андрій Іванович | |
| dc.contributor.author | Сердюк, О. А. | |
| dc.date.accessioned | 2023-01-02T10:33:04Z | |
| dc.date.available | 2023-01-02T10:33:04Z | |
| dc.date.issued | 2021-12-18 | |
| dc.identifier.citation | Bielinskyi A. O. Econophysics of cryptocurrency crashes: a systematic review [Electronic resource] / Andrii O. Bielinskyi, Oleksandr A. Serdyuk, Serhiy O. Semerikov, Vladimir N. Soloviev // Proceedings of the Selected and Revised Papers of 9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2021). Odessa, Ukraine, May 26-28, 2021 / Edited by : Arnold E. Kiv, Vladimir N. Soloviev, Serhiy O. Semerikov // CEUR Workshop Proceedings. – 2021. – Vol. 3048. – P. 31-133. – Access mode : http://ceur-ws.org/Vol-3048/paper03.pdf | uk |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | https://ceur-ws.org/Vol-3048/paper03.pdf | |
| dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6974 | |
| dc.identifier.uri | https://doi.org/10.31812/123456789/6974 | |
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| dc.description.abstract | Cryptocurrencies refer to a type of digital asset that uses distributed ledger, or blockchain technology to enable a secure transaction. Like other financial assets, they show signs of complex systems built from a large number of nonlinearly interacting constituents, which exhibits collective behavior and, due to an exchange of energy or information with the environment, can easily modify its internal structure and patterns of activity. We review the econophysics analysis methods and models adopted in or invented for financial time series and their subtle properties, which are applicable to time series in other disciplines. Quantitative measures of complexity have been proposed, classified, and adapted to the cryptocurrency market. Their behavior in the face of critical events and known cryptocurrency market crashes has been analyzed. It has been shown that most of these measures behave characteristically in the periods preceding the critical event. Therefore, it is possible to build indicators-precursors of crisis phenomena in the cryptocurrency market. | uk |
| dc.language.iso | en | uk |
| dc.subject | blockchain | uk |
| dc.subject | cryptocurrency market | uk |
| dc.subject | indicators-precursors of crisis phenomena | uk |
| dc.subject | econophysics | uk |
| dc.title | Econophysics of cryptocurrency crashes: a systematic review | uk |
| dc.type | Article | uk |
