engleski

Time-Series Analysis Of The Most Common Cryptocurrencies

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. Paper was presented at 2nd International Conference "Smart Ideas and a New Concept of Economic Regeneration in Europe - SINCERE", Dubrovnik, Croatia, 25th - 27th October 2018.

blockchain, cryptocurrencies, time-series, financial markets

nije evidentirano