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Cited by 292

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19

Open access
Chen, Conghui, Liu, Lanlan, Zhao, Ningru·2020·Emerging Markets Finance and Trade

Abstract

This paper studies the impact of fear sentiment caused by the coronavirus pandemic on Bitcoin price dynamics. We construct a new proxy for coronavirus fear sentiment using hourly Google search queries on coronavirus-related words. The results show that market volatility has been exacerbated by fear sentiment as the result of an increase in search interest in coronavirus. Moreover, we find that negative Bitcoin returns and high trading volume can be explained by fear sentiment regarding the coronavirus. Our results also show that Bitcoin fails to act as a safe haven during the pandemic.

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Crossref · 10.1080/1540496x.2020.1787150

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Metadata

Authors
Chen, C., Liu, L., & Zhao, N.
Venue
Emerging Markets Finance and Trade
Published
2020-07-25
Volume
56
Issue
10
Pages
2298-2309
ISSN
  • 1061-2009 (ISSN-L)
  • 1540-496X
  • 1558-0938
OpenAlex
W3045217887
Cited by
292
References
30
FWCI
46.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19. https://app.cochat.ai/papers/10.1080/1540496x.2020.1787150
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Chen, C., Liu, L., & Zhao, N. (2020). Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19. Emerging Markets Finance and Trade. https://doi.org/10.1080/1540496x.2020.1787150

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.