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The following study examines the influence selected variables have on the price of the cryptocurrency Bitcoin by utilizing a multiple linear regression model. Data of 267 observations for each variable during a five-year period from 13 August 2016 to 1 October 2021 are analyzed. The results present empirical evidence on the relationship of Bitcoin and external determinants such as traditional financial assets, in particular the stock market, the bond market, domestic currencies, the real estate market, gold, and the popularity of Bitcoin, represented by a Google Trends analysis. The findings imply that only the stock market and the real estate market proxies significantly influence the price of the cryptocurrency Bitcoin.
This paper analyses five different Cryptocurrencies, namely Bitcoin, Ethereum, XRP, Dogecoin and Litecoin, and studies their impact on traditional financial portfolios under different allocation strategies. The allocation strategies under consideration in this paper are the modern portfolio theory according to Markowitz, an extension of it such as the tangency portfolio, and the equally weighted portfolio. Further, this study explores the effect on the efficient frontier when Cryptocurrencies are added to the efficient portfolios. In addition to that, the paper aims to examine whether the mean – variance portfolio optimization according to Markowitz outperforms the naïve and tangency portfolio strategy. The portfolio performance is evaluated based on the Sharpe ratio. The quantitative analysis of this paper covers the time period from 2017 to 2022, in total five years. In accordance with the existing literature on portfolio optimization with Cryptocurrencies, the study reveals that besides some issues related with Cryptocurrencies such as cybercrime and a lack of regulations, Cryptocurrencies can be beneficial for portfolio diversification with traditional financial assets. Referring to the portfolio strategies, the study highlights that the optimal mean – variance portfolio and tangency portfolio do not differ significantly in terms of Sharpe ratio. However, both strategies outperform equally weighted portfolios.