Artikel
True versus spurious long memory in cryptocurrencies
We test whether the selected cryptocurrencies exhibit long memory behavior in returns and volatility. We use data on five most traded cryptocurrencies: Bitcoin, Litecoin, Ethereum, Bitcoin Cash, and XRP. Using recent tests of long memory developed against persistent and nonlinear alternatives, this paper finds that long memory is mostly rejected in returns. The tests fail to reject the null hypothesis of long memory in most cases across different volatility proxies and cryptocurrencies. The estimated memory parameters show that volatility is persistent, and when volatility is measured by log range, it is borderline nonstationary.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 13 ; Year: 2020 ; Issue: 9 ; Pages: 186- ; Basel: MDPI
- Classification
-
Wirtschaft
- Subject
-
long memory
Bitcoin
cryptocurrency
fractional integration
persistence
- Event
-
Geistige Schöpfung
- (who)
-
Rambaccussing, Dooruj
Mazibas, Murat
- Event
-
Veröffentlichung
- (who)
-
MDPI
- (where)
-
Basel
- (when)
-
2020
- DOI
-
doi:10.3390/jrfm13090186
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Rambaccussing, Dooruj
- Mazibas, Murat
- MDPI
Time of origin
- 2020