The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe
Open accessAbstract
Do government interventions aimed at curbing the spread of COVID-19 affect stock market volatility? To answer this question, we explore the stringency of policy responses to the novel coronavirus pandemic in 67 countries around the world. We demonstrate that non-pharmaceutical interventions significantly increase equity market volatility. The effect is independent from the role of the coronavirus pandemic itself and is robust to many considerations. Furthermore, two types of actions that are usually applied chronologically particularly early-information campaigns and public event cancellations-are the major contributors to the growth of volatility.
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
Common risk factors in the returns on stocks and bonds
Fama, E. F., & French, K. R. (1993) · Journal of Financial Economics · doi:10.1016/0304-405x(93)90023-5 · Cited by 25,754
CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK*
Sharpe, W. F. (1964) · The Journal of Finance · doi:10.1111/j.1540-6261.1964.tb02865.x · Cited by 19,441
On Persistence in Mutual Fund Performance
Carhart, M. M. (1997) · The Journal of Finance · doi:10.1111/j.1540-6261.1997.tb03808.x · Cited by 17,283
Introducing Multilevel Modeling
Kreft, I., & de Leeuw, J. (1998) · doi:10.4135/9781849209366 · Cited by 2,997
Financial markets under the global pandemic of COVID-19
Zhang, D., Hu, M., & Ji, Q. (2020) · Finance Research Letters · doi:10.1016/j.frl.2020.101528 · Cited by 2,341
Uncertainty about Government Policy and Stock Prices
PÁSTOR, L., & VERONESI, P. (2012) · The Journal of Finance · doi:10.1111/j.1540-6261.2012.01746.x · Cited by 2,313
ASNESS, C. S., MOSKOWITZ, T. J., & PEDERSEN, L. H. (2013) · The Journal of Finance · doi:10.1111/jofi.12021 · Cited by 2,147
Economic Effects of Coronavirus Outbreak (COVID-19) on the World Economy
Fernandes, N. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3557504 · Cited by 1,881
Differences of Opinion Make a Horse Race
Harris, M., & Raviv, A. (1993) · Review of Financial Studies · doi:10.1093/rfs/5.3.473 · Cited by 1,643
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
Cited by
Non-pharmaceutical interventions during the COVID-19 pandemic: A review
Perra, N. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.02.001 · Cited by 531
The economics of COVID-19 pandemic: A survey
Padhan, R., & Prabheesh, K. P. (2021) · Economic Analysis and Policy · doi:10.1016/j.eap.2021.02.012 · Cited by 422
Market reactions to the arrival and containment of COVID-19: An event study
Heyden, K. J., & Heyden, T. (2021) · Finance Research Letters · doi:10.1016/j.frl.2020.101745 · Cited by 292
Japanese currency and stock market—What happened during the COVID-19 pandemic?
Narayan, P. K., Devpura, N., & Wang, H. (2020) · Economic Analysis and Policy · doi:10.1016/j.eap.2020.09.014 · Cited by 268
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
Metadata
- Authors
- Zaremba, A., Kizys, R., Aharon, D. Y., & Demir, E.
- Venue
- Finance Research Letters
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 35
- Pages
- 101597
- ISSN
- 1544-6123 (ISSN-L)
- OpenAlex
- W3026812076
- Cited by
- 630
- References
- 35
- FWCI
- 103.05
- 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: Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe. https://app.cochat.ai/papers/10.1016/j.frl.2020.101597
- The paper
- Zaremba, A., Kizys, R., Aharon, D. Y., & Demir, E. (2020). Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe. Finance Research Letters. https://doi.org/10.1016/j.frl.2020.101597
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.