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Cited by 531

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Herding behaviour in cryptocurrencies

Bouri, Elie, Gupta, Rangan, Roubaud, David·2019·Finance Research Letters

Abstract

This study examines the presence of herding behaviour in the cryptocurrency market. The latter is the outcome of mass collaboration and imitation. Results from the static model suggest no significant herding. However, the presence of structural breaks and nonlinearities in the data series suggests applying a static model is not appropriate. Accordingly, we conduct a rolling-window analysis, and those results point to significant herding behaviour, which varies over time. Using a logistic regression, we find that herding tends to occur as uncertainty increases. Our findings induce useful insights related to portfolio and risk management, trading strategies, and market efficiency.

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Crossref · 10.1016/j.frl.2018.07.008

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Metadata

Authors
Bouri, E., Gupta, R., & Roubaud, D.
Venue
Finance Research Letters
Publisher
Elsevier BV
Published
2019-06
Volume
29
Pages
216-221
ISSN
1544-6123 (ISSN-L)
OpenAlex
W2883143933
Cited by
531
References
25
FWCI
49.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Herding behaviour in cryptocurrencies. https://app.cochat.ai/papers/10.1016/j.frl.2018.07.008
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Bouri, E., Gupta, R., & Roubaud, D. (2019). Herding behaviour in cryptocurrencies. Finance Research Letters. https://doi.org/10.1016/j.frl.2018.07.008

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.