High-frequency return and volatility spillovers among cryptocurrencies
buir.contributor.author | Şensoy, Ahmet | |
dc.citation.epage | 4328 | en_US |
dc.citation.issueNumber | 37 | en_US |
dc.citation.spage | 4310 | en_US |
dc.citation.volumeNumber | 53 | en_US |
dc.contributor.author | Şensoy, Ahmet | |
dc.contributor.author | Silva, T. C. | |
dc.contributor.author | Corbet, S. | |
dc.contributor.author | Tabak, B. M. | |
dc.date.accessioned | 2022-02-15T06:33:28Z | |
dc.date.available | 2022-02-15T06:33:28Z | |
dc.date.issued | 2021-03-22 | |
dc.department | Department of Management | en_US |
dc.description.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. | en_US |
dc.description.provenance | Submitted by Mustafa Er (mer@bilkent.edu.tr) on 2022-02-15T06:33:28Z No. of bitstreams: 1 High-frequency_return_and_volatility_spillovers_among_cryptocurrencies.pdf: 5642086 bytes, checksum: 09679292d9a9ab0209dbf4b58fdce4f1 (MD5) | en |
dc.description.provenance | Made available in DSpace on 2022-02-15T06:33:28Z (GMT). No. of bitstreams: 1 High-frequency_return_and_volatility_spillovers_among_cryptocurrencies.pdf: 5642086 bytes, checksum: 09679292d9a9ab0209dbf4b58fdce4f1 (MD5) Previous issue date: 2021-03-22 | en |
dc.identifier.doi | 10.1080/00036846.2021.1899119 | en_US |
dc.identifier.eissn | 1466-4283 | |
dc.identifier.issn | 0003-6846 | |
dc.identifier.uri | http://hdl.handle.net/11693/77345 | |
dc.language.iso | English | en_US |
dc.publisher | Routledge | en_US |
dc.relation.isversionof | https://doi.org/10.1080/00036846.2021.1899119 | en_US |
dc.source.title | Applied Economics | en_US |
dc.subject | Cryptocurrency | en_US |
dc.subject | Bitcoin | en_US |
dc.subject | Network | en_US |
dc.subject | Spillover | en_US |
dc.subject | Minimal spanning tree | en_US |
dc.subject | Hierarchical clustering | en_US |
dc.subject | Machine learning | en_US |
dc.title | High-frequency return and volatility spillovers among cryptocurrencies | en_US |
dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- High-frequency_return_and_volatility_spillovers_among_cryptocurrencies.pdf
- Size:
- 5.38 MB
- Format:
- Adobe Portable Document Format
- Description:
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.69 KB
- Format:
- Item-specific license agreed upon to submission
- Description: