Open AccessA TIME SERIES ANALYSIS OF FOUR MAJOR CRYPTOCURRENCIES
Author(s) -
Boris Radovanov,
Aleksandra Marcikić,
Nebojša Gvozdenović
Publication year - 2018
Publication title -
facta universitatis. series: economics and organization
Language(s) - English
Resource type - Journals
eISSN - 2406-050X
pISSN - 0354-4699
DOI - 10.22190/fueo1803271r
Subject(s) - cryptocurrency , volatility (finance) , econometrics , economics , market capitalization , autocorrelation , portfolio , autoregressive conditional heteroskedasticity , us dollar , financial economics , stock market , exchange rate , computer science , mathematics , statistics , finance , computer security , paleontology , horse , biology
Because of increasing interest in cryptocurrency investments, there is a need to quantify their variation over time. Therefore, in this paper we try to answer a few important questions related to a time series of cryptocurrencies. According to our goals and due to market capitalization, here we discuss the daily market price data of four major cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), Ripple (XRP) and Litecoin (LTC). In the first phase, we characterize the daily returns of exchange rates versus the U.S. Dollar by assessing the main statistical properties of them. In many ways, the interpretation of these results could be a crucial point in the investment decision making process. In the following phase, we apply an autocorrelation function in order to find repeating patterns or a random walk of daily returns. Also, the lack of literature on the comparison of cryptocurrency price movements refers to the correlation analysis between the aforementioned data series. These findings are an appropriate base for portfolio management. Finally, the paper conducts an analysis of volatility using dynamic volatility models such as GARCH, GJR and EGARCH. The results confirm that volatility is persistent over time and the asymmetry of volatility is small for daily returns.