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Achieving Portfolio Diversification through Cryptocurrencies in European Markets (CROSBI ID 260151)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Pavković, Ana ; Anđelinović, Mihovil ; Pavković, Ivan Achieving Portfolio Diversification through Cryptocurrencies in European Markets // Business systems research, 10 (2019), 2; 85-107

Podaci o odgovornosti

Pavković, Ana ; Anđelinović, Mihovil ; Pavković, Ivan

engleski

Achieving Portfolio Diversification through Cryptocurrencies in European Markets

Background: Cryptocurrencies represent specific technological innovation in financial markets that keeps getting more and more popular among investors around the world. Given the specific characteristics of the cryptocurrencies, this paper examines the possibility of their use as a diversification instrument. Objectives: This paper examines the direction and strength of the relationship between the selected cryptocurrencies and important financial indicators on the European Union market. Since cryptocurrencies are a novelty in the financial system, the empirical literature in this area is rather scarce. Methods/Approach: In order to assess cryptocurrencies’ diversification properties for European traders, a comprehensive econometric analysis was carried out. The first part of the analysis refers to the estimation of the multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, whereas the second part focuses on Wavelet transforms. Results: Bitcoin and Ripple proved as a possible diversification instrument on most of the observed European markets since corresponding coefficients of unconditional correlation are negative. Conclusions: Relationship between the value of the cryptocurrencies and selected indices is generally very weak and slightly negative, indicating that some cryptocurrencies can serve as a means of diversification. However, investors need to take into account the extreme volatility, exhibited in all existing cryptocurrencies.

Bitcoin ; Portfolio Diversification ; Volatility Clustering ; Wavelet ; Cryptocurrencies

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Podaci o izdanju

10 (2)

2019.

85-107

objavljeno

1847-8344

1847-9375

Povezanost rada

Ekonomija

Poveznice