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Titlebook: Advanced Studies of Financial Technologies and Cryptocurrency Markets; Lukáš Pichl,Cheoljun Eom,Taisei Kaizoji Book 2020 Springer Nature S

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Application of Biomass-Derived Catalyst, Bitcoin. Despite its importance and the innovative features of the entire Ethereum ledger ecosystem, Ether has attracted far less attention than Bitcoin in terms of the time series analysis. This work provides an analysis of the R/S Hurst Exponent for the Ether time series in order to test to what
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Application of Biomass-Derived Catalyst,existence of Bid-Ask spread. We identify a proxy—a spread-to-range ratio—for the unobserved proportion of informed traders in a market from the classic Glosten-Milgrom (.) model. It can be shown that this ratio is the minimum of the proportion of informed traders, and the respective dynamics of spre
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Biomass and Biofuels from Microalgaeof the financial time series allows to analyze the methodological principles, including the advantages and disadvantages of using ML algorithms. The 90-day time horizon of the dynamics of the three most capitalized cryptocurrencies (Bitcoin, Ethereum, Ripple) was estimated using the Binary Autoregre
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https://doi.org/10.1007/978-981-15-4498-9Financial Market; Cryptocurrency; Financial Innovation; Bitcoin; Financial Network; Complex System
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