ArticleFinance research letters2022
Herding intensity and volatility in cryptocurrency markets during the COVID-19.
Article in Finance research letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market.Entropy (Basel, Switzerland) · 2025Article
- Article
- Cryptocurrencies Are Becoming Part of the World Global Financial Market.Entropy (Basel, Switzerland) · 2023Article
- Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality.Financial innovation · 2023Article
- Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets.Financial innovation · 2023Article
- Article
- Speculative bubbles and herding in cryptocurrencies.Financial innovation · 2022Article
- Time-frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic.Financial innovation · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper investigates whether herding is present before and during the COVID-19 pandemic, analyzing intraday data of Bitcoin and eight altcoins. The herding intensity measure of Patterson and Sharma (2006) is calculated for the first time for cryptocurrency markets. Furthermore, we employed a novel Granger causality methodology with a Fourier approximation to determine the relationship between herding and volatility, considering the structural breaks. Our results indicate a significant herding behavior, concentrating during the COVID-19 outbreak. The causality test results show that herding has a significant effect on market volatility. Our results do not support the efficient market hypothesis.
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