High-frequency return and volatility spillovers among cryptocurrencies
Date
2021-03-22
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Applied Economics
Print ISSN
0003-6846
Electronic ISSN
1466-4283
Publisher
Routledge
Volume
53
Issue
37
Pages
4310 - 4328
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Citation Stats
Attention Stats
Usage Stats
3
views
views
110
downloads
downloads
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Abstract
We examine the high-frequency return and volatility of major cryptocurrencies and reveal that spillovers among them exist. Our analysis shows that return and volatility clustering structures are distinct among different cryptocurrencies, suggesting that return and volatility might have different spillover patterns. Further investigation via minimal spanning trees points out that BTC, LTC and ETH are the most relevant cryptocurrencies in general, serving as connection hubs for linking many other cryptocurrencies. However, their role is challenged lately, potentially due to the increased usage of other cryptocurrencies in time.