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Cited by 630

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 access
Zaremba, Adam, Kizys, Renatas, Aharon, David Y., Demir, Ender·2020·Finance Research Letters

Abstract

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.

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Crossref · 10.1016/j.frl.2020.101597

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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

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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
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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

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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.