The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis
Open accessAbstract
We apply wavelet methods to daily data of COVID-19 world deaths and daily Bitcoin prices from 31th December 2019 to 29th April 2020. We find, especially for the period post April 5, that levels of COVID-19 caused a rise in Bitcoin prices. We contribute to the fast-growing body of work on the financial impacts of COVID-19, as well as to ongoing consideration of whether Bitcoin is a safe haven investment. Our results should be of great interest to both scholars and policy makers, as well as investment professionals interested in the financial implications of both COVID-19 and cryptocurrencies.
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Citations
Cites
A Practical Guide to Wavelet Analysis
Torrence, C., & Compo, G. P. (1998) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2 · Cited by 14,890
Application of the cross wavelet transform and wavelet coherence to geophysical time series
Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004) · Nonlinear Processes in Geophysics · doi:10.5194/npg-11-561-2004 · Cited by 6,285
Interdecadal Changes in the ENSO–Monsoon System
Torrence, C., & Webster, P. J. (1999) · Journal of Climate · doi:10.1175/1520-0442(1999)012<2679:icitem>2.0.co;2 · Cited by 2,149
Is gold a safe haven? International evidence
Baur, D. G., & McDermott, T. K. (2010) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2009.12.008 · Cited by 1,947
COVID-19 and finance: Agendas for future research
Goodell, J. W. (2020) · Finance Research Letters · doi:10.1016/j.frl.2020.101512 · Cited by 1,592
Self-citationBitcoin, gold and the dollar – A GARCH volatility analysis
Dyhrberg, A. H. (2016) · Finance Research Letters · doi:10.1016/j.frl.2015.10.008 · Cited by 1,544
Catastrophic Natural Disasters and Economic Growth
Cavallo, E., Galiani, S., Noy, I., & Pantano, J. (2013) · The Review of Economics and Statistics · doi:10.1162/rest_a_00413 · Cited by 1,260
Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?
Foley, S., Karlsen, J. R., & Putniņš, T. J. (2019) · The Review of Financial Studies · doi:10.1093/rfs/hhz015 · Cited by 1,051
Hedging capabilities of bitcoin. Is it the virtual gold?
Dyhrberg, A. H. (2016) · Finance Research Letters · doi:10.1016/j.frl.2015.10.025 · Cited by 978
Safe haven or risky hazard? Bitcoin during the Covid-19 bear market
Conlon, T., & McGee, R. (2020) · Finance Research Letters · doi:10.1016/j.frl.2020.101607 · Cited by 829
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Is non-fungible token pricing driven by cryptocurrencies?
Dowling, M. (2022) · Finance Research Letters · doi:10.1016/j.frl.2021.102097 · Cited by 550
Hsu, C.-C., Quang-Thanh, N., Chien, F., Li, L., & Mohsin, M. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-14499-w · Cited by 369
Green finance and sustainability development goals in Indonesian Fund Village
Ronaldo, R., & Suryanto, T. (2022) · Resources Policy · doi:10.1016/j.resourpol.2022.102839 · Cited by 132
Predictors of NFT Prices: An Automated Machine Learning Approach
Alon, I., Bretas, V. P. G., & Katrih, V. (2023) · Journal of Global Information Management · doi:10.4018/jgim.317097 · Cited by 20
Metadata
- Authors
- Goodell, J. W., & Goutte, S.
- Venue
- Finance Research Letters
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 38
- Pages
- 101625
- ISSN
- 1544-6123 (ISSN-L)
- OpenAlex
- W3025889651
- Cited by
- 474
- References
- 29
- FWCI
- 71.90
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.