0522062 20240103223724.220200211235959.9 85077686384 000526845600043 10.1016/j.physa.2019.123803 8 s. P cav_un_epca*02574230378-4371545Elsevier Cryptocurrency Bitcoin Correlations Detrended cross-correlation analysis Detrending moving-average cross-correlation analysis Efficiency cav_un_auth*0351446 Ferreira P. PT 30 K cav_un_auth*0256902 Krištoufek Ladislav UTIA-B Ekonometrie Department of Econometrics E E Department of Econometrics CZ 40 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0390579 Pereira E. J. D. A. L. BR 30 http://library.utia.cas.cz/separaty/2020/E/kristoufek-0522062.pdf https://www.sciencedirect.com/science/article/pii/S0378437119321168 GJ17-12386Y GA ČR CZ cav_un_auth*0351447 We examine the serial correlation structure of six liquid cryptocurrencies with a long data record – Bitcoin, DASH, Stellar, Litecoin, Monero, and Ripple – with a use of the detrended cross-correlation (DCCA) and detrending moving-average cross-correlation (DMCA) correlation coefficients. We find that these cryptocurrencies behave differently from the stock markets which are much closer to the random walk (efficient) dynamics. We further discuss issues connected to strong statements about cryptocurrency markets practical inefficiency. WOS AH 50000 50200 50202 2021 3 RVO:67985556 http://hdl.handle.net/11104/0307301 1 S 123803 1* Article Physics Multidisciplinary C PHYSICS.MULTIDISCIPLINARY 2.866 1.92 5.5 0.03229 0.51 37922 195 0.640 42.72 3.32 13904 Q2 2.771 1202 Q2 44.13 68 Q3 Q3 0.97 Q1 68.023 2020 85077686384 SCOPUS PUBMED 000526845600043 WOS cav_un_epca*0257423 Physica. A : Statistical Mechanics and its Applications 0378-4371 1873-2119 Roč. 545 č. 1 2020 Elsevier