%0 Journal Article
%T TIME-SERIES ANALYSIS OF THE MOST COMMON CRYPTOCURRENCIES
%A Sajter
%A Domagoj
%J -
%D 2019
%X Sa£¿etak This paper aims to gain and improve understanding of the three most common cryptocurrencies (Bitcoin, Ethereum and Ripple) by applying standard econometric tools upon their time-series data. Cryptocurrencies¡¯ returns are compared to six major stock indices: two American (S&P500 and Russell 2000), one European (Stoxx 600), one Japanese (Nikkei 225), one Chinese (Hong Kong Hang Seng) and a global index (S&P Global 1200). The findings indicate that observed cryptocurrencies could be regarded as a new asset class, a fully digital, sui-generis financial instruments, as they are not coherently connected to the stock market. However, allocating capital into cryptocurrencies remains in the domain of pure speculation due to their strong volatility
%K blockchain
%K cryptocurrencies
%K time-series
%K financial markets
%U https://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=322678