The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic
Open accessAbstract
In the midst of the 2020 global COVID-19 pandemic and subsequent financial market collapse, corporate entities have to navigate a number of truly unforeseen contagion risks. However, one such group included those who shared their corporate identity with aspects of the rapidly evolving coronavirus. Our results indicate the existence of sharp, dynamic and new correlations between companies related to the term 'corona', outside of pre-existing interrelationships. We provide a number of observations as to why this situation occurred.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Engle, R. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102288618487 · Cited by 7,133
Cited by
Financial contagion during COVID–19 crisis
Akhtaruzzaman, M., Boubaker, S., & Sensoy, A. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3584898 · Cited by 935
Metadata
- Authors
- Corbet, S., Hou, Y., Hu, Y., Lucey, B., & Oxley, L.
- Venue
- Finance Research Letters
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 38
- Pages
- 101591
- ISSN
- 1544-6123 (ISSN-L)
- OpenAlex
- W3016798707
- Cited by
- 228
- References
- 1
- FWCI
- 42.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic. https://app.cochat.ai/papers/10.1016/j.frl.2020.101591
- The paper
- Corbet, S., Hou, Y., Hu, Y., Lucey, B., & Oxley, L. (2021). Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic. Finance Research Letters. https://doi.org/10.1016/j.frl.2020.101591
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.