Complex Systems Theory And Crashes Of Cryptocurrency Market

The paper focuses on the study of the effect of lengthy memory and the evaluation of the multifractal properties of the time series of the most capitalized cryptocurrencies for the period from 2010 to 2018. When you beloved this article and also you desire to get more details regarding jobgirl247.ru generously check out our own web site. To do this, the Hurst exponent is calculated by both R/S evaluation and the Detrended Fluctuation Analysis getting additional steady in the case of non-stationary time series. We also discovered that (i) time series became anti-persistent in the course of the periods of market crisis phenomena and turbulence (ii) the Hurst exponents showed significant fluctuations about the value of .5. In addition, we conduct a multifractal analysis of cryptocurrency time series that makes it possible for us to assess the state and stability of the industry.The calculated spectrum of multifractality shows that the cryptocurrency market place comes out of a crisis state, given that the width of the multifractality spectrum has the maximum worth for all cryptocurrencies. Our outcomes show that time series of cryptocurrencies to be persistent for the duration of pretty much the entire study period that do not allow accepting the hypothesis regarding the efficiency of the cryptocurrency market.

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