Econophysics of cryptocurrency crashes: an overview

- Bielinskyi, Andrii, Serdyuk, Oleksandr, Semerikov, Serhiy O. and Soloviev, V.N. (2021) Econophysics of cryptocurrency crashes: an overview SHS Web of Conferences.9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2021) (107). ISSN 2261-2424

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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.

Item Type:	Article
Keywords:	econophysics, cryptocurrency crashes
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques ) > 004.94 Simulation Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 33 Economics. Economic science
Divisions:	Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	08 Oct 2021 20:53
Last Modified:	08 Oct 2021 20:53
URI:	https://lib.iitta.gov.ua/id/eprint/726943

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