The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Return connectedness across asset classes around the COVID-19 outbreak
Open accessAbstract
In this paper, we show evidence of a dramatic change in the structure and time-varying patterns of return connectedness across various assets (gold, crude oil, world equities, currencies, and bonds) around the COVID-19 outbreak. Using the TVP-VAR connectedness approach, the results show that the dynamic total connectedness across the five assets was moderate and quite stable until early 2020. After that, the total connectedness spikes and the structure of the network of connectedness alters, which concurs with the COVID-19 outbreak. The equity and USD indices are the primary transmitters of shocks before the outbreak, whereas the bond index becomes the main transmitters of shocks during the COVID-19 outbreak. However, the USD index is a net receiver of shocks to other assets during the outbreak period. Furthermore, using a recently developed newspaper-based index of uncertainty in financial markets due to infectious diseases to capture the recent impact of Covid-19, we find that connectedness is positively related to this index, and increases at higher levels (conditional quantiles) of connectedness. Overall, our results reflect the speedy disturbing effects of the COVID-19 outbreak, which matters to the formulations of policies seeking to achieve financial stability. The results also indicate a possibility to threaten investors’ portfolios and fade the benefits of diversification.
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Cited by
NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic
Aharon, D. Y., & Demir, E. (2022) · Finance Research Letters · doi:10.1016/j.frl.2021.102515 · Cited by 274
Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic
Yarovaya, L., Brzeszczyński, J., Goodell, J. W., Lucey, B., & Lau, C. K. M. (2022) · Journal of International Financial Markets, Institutions and Money · doi:10.1016/j.intfin.2022.101589 · Cited by 267
Umar, Z., Gubareva, M., Teplova, T., & Tran, D. K. (2022) · Finance Research Letters · doi:10.1016/j.frl.2022.102725 · Cited by 175
Gunay, S., & Can, G. (2022) · PLOS ONE · doi:10.1371/journal.pone.0261835 · Cited by 92
Metadata
- Authors
- Bouri, E., Cepni, O., Gabauer, D., & Gupta, R.
- Venue
- International Review of Financial Analysis
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 73
- Pages
- 101646
- ISSN
- 1057-5219 (ISSN-L)
- OpenAlex
- W3028843255
- Cited by
- 629
- References
- 45
- FWCI
- 68.98
- 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).
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