| 000 | 03281nlm1a2200409 4500 | ||
|---|---|---|---|
| 001 | 667859 | ||
| 005 | 20231030042128.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\39070 | ||
| 035 | _aRU\TPU\network\35690 | ||
| 090 | _a667859 | ||
| 100 | _a20220505a2021 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aComplexity traits and synchrony of cryptocurrencies price dynamics _fD. Provenzano, R. Baggio |
|
| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 330 | _aIn this study, we characterized the dynamics and analyzed the degree of synchronization of the time series of daily closing prices and volumes in US$ of three cryptocurrencies, Bitcoin, Ethereum, and Litecoin, over the period September 1,2015–March 31, 2020. Time series were first mapped into a complex network by the horizontal visibility algorithm in order to revel the structure of their temporal characters and dynamics. Then, the synchrony of the time series was investigated to determine the possibility that the cryptocurrencies under study co-bubble simultaneously. Findings reveal similar complex structures for the three virtual currencies in terms of number and internal composition of communities. To the aim of our analysis, such result proves that price and volume dynamics of the cryptocurrencies were characterized by cyclical patterns of similar wavelength and amplitude over the time period considered. Yet, the value of the slope parameter associated with the exponential distributions fitted to the data suggests a higher stability and predictability for Bitcoin and Litecoin than for Ethereum. The study of synchrony between the time series investigated displayed a different degree of synchronization between the three cryptocurrencies before and after a collapse event. These results could be of interest for investors who might prefer to switch from one cryptocurrency to another to exploit the potential opportunities of profit generated by the dynamics of price and volumes in the market of virtual currencies. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tDecisions in Economics and Finance | ||
| 463 |
_tVol. 44, iss. 2 _v[P. 941-955] _d2021 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _acryptocurrency | |
| 610 | 1 | _atime series | |
| 610 | 1 | _acomplex network analysis | |
| 610 | 1 | _asynchronization | |
| 610 | 1 | _abitcoin | |
| 610 | 1 | _aкриптовалюта | |
| 610 | 1 | _aбиткойн | |
| 700 | 1 |
_aProvenzano _bD. _gDavide |
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| 701 | 1 |
_aBaggio _bR. _cItalian expert, philosopher _cProfessor of Tomsk Polytechnic University, candidate of philosophical Sciences _f1951- _gRodolfo _2stltpush _3(RuTPU)RU\TPU\pers\39762 |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bШкола базовой инженерной подготовки _bОтделение социально-гуманитарных наук _h8033 _2stltpush _3(RuTPU)RU\TPU\col\23512 |
| 801 | 2 |
_aRU _b63413507 _c20220505 _gRCR |
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| 856 | 4 | _uhttps://doi.org/10.1007/s10203-021-00319-w | |
| 942 | _cCF | ||