Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios

被引:183
作者
Antonakakis, Nikolaos [1 ,2 ]
Chatziantoniou, Ioannis [1 ,2 ]
Gabauer, David [1 ,3 ]
机构
[1] Webster Vienna Private Univ, Dept Business & Management, Praterstr 23, A-1020 Vienna, Austria
[2] Univ Portsmouth, Econ & Finance Subject Grp, Portsmouth Business Sch, Portland St, Portsmouth PO1 3DE, Hants, England
[3] Johannes Kepler Univ Linz, Inst Appl Stat, Altenbergerstrae 69, A-4040 Linz, Austria
关键词
Cryptocurrencies; Connectedness; Contagion; TVP-FAVAR; IMPULSE-RESPONSE ANALYSIS; BITCOIN; INEFFICIENCY; VOLATILITY; EFFICIENCY; NORMALITY; EXCHANGE; MEMORY; HEDGE;
D O I
10.1016/j.intfin.2019.02.003
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this study, we employ a TVP-FAVAR connectedness approach in order to investigate the transmission mechanism in the cryptocurrency market. To this end, we concentrate on the top 9 cryptocurrencies by virtue of market capitalization and one market factor - based on 45 additional digital currencies - capturing the co-movements in the cryptocurrency market. The period of study spans between August 7, 2015 and May 31, 2018. We find that the dynamic total connectedness across several cryptocurrencies exhibits large dynamic variability ranging between 25% and 75%. In particular, periods of high (low) market uncertainty correspond to strong (weak) connectedness. We show that these results could be explained on the basis of increased market uncertainty that is associated with periods of highly volatile prices. In addition, despite the fact that Bitcoin still influences the cryptocurrency market substantially, we note that, recently, Ethereum has become the number one net transmitting cryptocurrency. We further note that the market gradually becomes more complex considering our connectedness approach and that this might be attributed to the unique characteristics and possibilities inherent in the technology of each cryptocurrency. A simplified application concentrating on bivariate portfolios is indicative of potential hedging opportunities using dynamic hedge ratios and dynamic portfolio weights. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:37 / 51
页数:15
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