Background: Cryptocurrencies represent a 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 diversification properties of cryptocurrencies 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: The 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.
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Ulsan Natl Inst Sci & Technol UNIST, Dept Ind Engn, Ulsan 44919, South KoreaUlsan Natl Inst Sci & Technol UNIST, Dept Ind Engn, Ulsan 44919, South Korea
Lee, Yongjae
Kim, Woo Chang
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Korea Adv Inst Sci & Technol KAIST, Dept Ind & Syst Engn, Daejeon 34141, South KoreaUlsan Natl Inst Sci & Technol UNIST, Dept Ind Engn, Ulsan 44919, South Korea
Kim, Woo Chang
Kim, Jang Ho
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Kyung Hee Univ, Dept Ind & Management Syst Engn, Yongin 17104, Gyeonggi Do, South KoreaUlsan Natl Inst Sci & Technol UNIST, Dept Ind Engn, Ulsan 44919, South Korea
机构:
Guangzhou Univ, Guangzhou Inst Int Finance, Guangzhou 510006, Peoples R ChinaGuangzhou Univ, Guangzhou Inst Int Finance, Guangzhou 510006, Peoples R China
Mo, Bin
Meng, Juan
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Hunan First Normal Univ, Business Sch, Changsha 410205, Peoples R ChinaGuangzhou Univ, Guangzhou Inst Int Finance, Guangzhou 510006, Peoples R China
Meng, Juan
Zheng, Liping
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Jinan Univ, Coll Econ, Guangzhou 510632, Peoples R ChinaGuangzhou Univ, Guangzhou Inst Int Finance, Guangzhou 510006, Peoples R China