Your browser doesn't support javascript.
A Network Analysis of the Cryptocurrency Market
IEEE Symposium Series on Computational Intelligence (IEEE SSCI) ; : 2178-2185, 2020.
Article in English | Web of Science | ID: covidwho-1431470
ABSTRACT
In this study, we conduct a network analysis with centrality measures, using historical daily close prices of top 120 cryptocurrencies between 2013 and 2020, to study and understand the dynamic evolution and characteristics of the cryptocurrency market. Our study has two primary

findings:

(1) the overall cross-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, alongside with its strongly correlated cryptocurrencies have replaced BTC to become the benchmark cryptocurrencies. Furthermore, during COVID-19, QTUM and BNB have intermittently replaced ETH to take the leading positions due to their active community engagement during the pandemic.
Search on Google
Collection: Databases of international organizations Database: Web of Science Language: English Journal: IEEE Symposium Series on Computational Intelligence (IEEE SSCI) Year: 2020 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS

Search on Google
Collection: Databases of international organizations Database: Web of Science Language: English Journal: IEEE Symposium Series on Computational Intelligence (IEEE SSCI) Year: 2020 Document Type: Article