An empirical analysis of cryptocurrency trends for financial decisions
Автор: Jun Yup Kim*, Moonseong Kang**, Lynn J#. Park, Yungha Kim§
Организация: New York. University*, Wilbraham and Monson Academy**, Taejeon Christian International School#, Seoul Scholars International§
Ключевые слова: Cryptocurrency, Token, Bitcoin, Financial Decision, CoinMarketCap, Empirical Analysis, Market Capacity, Decentralized System.
Аннотация. Cryptocurrencies have recently gained closer attention based on its benefits such as cross-border fund transfer and decentralized financial control. Additional financial benefits are expected through better analysis of market and other factors affecting cryptocurrencies. Blockchain analysis is one way to obtain a better understanding of cryptocurrencies. This study explores cryptocurrencies from various aspects, including recent trends in famous cryptocurrencies, and analyzes their correlations based on top 10 cryptocurrencies including Bitcoin, Ethereum, Ripple, Bitcoin Cash, EOS, Stellar, Litecoin, Cardano, Tether, and TRON. An analytic tool called Tableau is used to visually depict analysis results for deeper insights in cryptocurrencies. Future cryptocurrency prices are forecasted using the exponential smoothing method based on historical values. The study also calculates different types of errors in the computation of predicted values of cryptocurrencies using Tether and Stellar.