Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/9064
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dr. HO Kin-Hon, Roy | en_US |
dc.contributor.author | Chiu, Wai Han | en_US |
dc.contributor.author | Li, Chin | en_US |
dc.date.accessioned | 2024-03-18T09:29:57Z | - |
dc.date.available | 2024-03-18T09:29:57Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Ho, Kin Hon, Chiu, Wai Han & Li, Chin (2021). A network analysis of the cryptocurrency market. In IEEE (Ed.). 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia. IEEE. | en_US |
dc.identifier.isbn | 9781728125473 | - |
dc.identifier.isbn | 9781728125466 | - |
dc.identifier.isbn | 9781728125480 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/9064 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.title | A network analysis of the cryptocurrency market | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | 2020 IEEE Symposium Series on Computational Intelligence (SSCI) | en_US |
dc.identifier.doi | 10.1109/SSCI47803.2020.9308282 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Business Administration | - |
Appears in Collections: | Business Administration - Publication |
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