Abstract
We conduct a network analysis with centrality measures, using historical daily close prices of top 120 cryptocurrencies between 2013 and 2020, to analyze the dynamic evolution and characteristics of the current cryptocurrency market. Our study has two primary findings: (1) the overall return correlation among the cryptocurrencies is weakening from 2013 to 2016 and then strengthening thereafter; (2) cryptocurrencies that are primarily used for transaction payment, notably BTC, dominate the market until mid-2016, followed by those developed for applications using blockchain as the underlying technology, particularly data storage and recording such as MAID and FCT, between mid-2016 and mid-2017. Since then, ETH has replaced BTC to become the benchmark cryptocurrencies. Interestingly, during the outbreak of COVID-19, QTUM and BNB have intermittently replaced ETH to take the leading positions, possibly due to their active community engagement during the pandemic.
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References
Marti, G., et al.: A review of two decades of correlations, hierarchies, networks and clustering in financial markets. arXiv:1703.00485 (2020)
Burnie, A.: Exploring the interconnectedness of cryptocurrencies using correlation networks. In: Cyrptocurrency Research Conference, Cambridge, United Kingdom (2018)
Frances, C.J., Carles, P.G., Arellano, D.J.: The cryptocurrency market: a network analysis. Esic Mark. Econ. Bus. J. 49(3), 569–583 (2018)
Boginski, V., Butenko, S., Pardalos, P.M.: Statistical analysis of financial networks. Comput. Stat. Data Anal. 48(2), 431–443 (2005)
Papadimitriou, T., Gogas, P., Gkatzoglou, F.: The evolution of the cryptocurrencies market: a complex networks approach. J. Comput. Appl. Math. 376, 112831 (2020)
Mantegna, R.N.: Hierarchical structure in financial markets. Eur. Phys. J. B 11, 193–197 (1999). https://doi.org/10.1007/s100510050929
Cryptocurrency Bubble. https://en.wikipedia.org/wiki/2018_cryptocurrency_crash
Stosic, D., et al.: Collective behavior of cryptocurrency price changes. Phys. A 507, 499–509 (2018)
Yi, S., et al.: Volatility connectedless in the cryptocurrency market: is Bitcoin a dominant cryptocurrency? Int. Rev. Financ. Anal. 60, 98–114 (2018)
QTUM Q2 Review. https://blog.qtum.org/qtum-q2-review-2020-b8f67876f3a4
Coronavirus Relief: Cryptocurrency Aid Programs Launched to Combat Covid-19 Outbreak. https://news.bitcoin.com/coronavirus-relief-aid-cryptocurrency/
https://news.bitcoin.com/bitcoin-worth-282k-from-the-2016-bitfinex-hack-on-the-move/
CoinMarketCap. https://www.coinmarketcap.com
Centrality – NetworkX. https://networkx.github.io/documentation/stable/reference/algorithms/centrality.html
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Ho, KH., Chiu, WH., Li, C. (2020). Characterizing the Cryptocurrency Market During Crisis. In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_21
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DOI: https://doi.org/10.1007/978-3-030-66046-8_21
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