ArticleFinance research letters2020
How the cryptocurrency market has performed during COVID 19? A multifractal analysis.
Article in Finance research letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Stock and cryptocurrency trading and problem gambling behavior during early phases of the COVID-19 pandemic: a narrative literature review.Frontiers in psychology · 2025Review
- Article
- Article
- The Impact of COVID-19 on Weak-Form Efficiency in Cryptocurrency and Forex Markets.Entropy (Basel, Switzerland) · 2023Article
- Article
- Dynamics and Co-movements Between the COVID-19 Outbreak and the Stock Market in Latin American Countries: An Evaluation Based on the Wavelet-Partial Wavelet Coherence Model.Evaluation review · 2023Article
- Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors.International review of financial analysis · 2023Article
- Skewed multifractal scaling of stock markets during the COVID-19 pandemic.Chaos, solitons, and fractals · 2023Article
- Turn-of-the-candle effect in bitcoin returns.Heliyon · 2023Article
- Investigating Dynamical Complexity and Fractal Characteristics of Bitcoin/US Dollar and Euro/US Dollar Exchange Rates around the COVID-19 Outbreak.Entropy (Basel, Switzerland) · 2023Article
- COVID-19 Cryptocurrency Investment: Wealth Disparities and Portfolio Diversification.Journal of economics, race, and policy · 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
- Article
- COVID-19 impact on multifractality of energy prices: Asymmetric multifractality analysis.Energy (Oxford, England) · 2022Article
- The connectedness and risk spillovers between bitcoin spot and futures markets: evidence from intraday data.Annals of operations research · 2022Article
- Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis.Computational economics · 2022Article
- A singular value decomposition entropy approach to assess the impact of Covid-19 on the informational efficiency of the WTI crude oil market.Chaos, solitons, and fractals · 2022Article
- COVID-19 and cryptocurrency volatility: Evidence from asymmetric modelling.Finance research letters · 2022Article
- Cryptocurrency price discrepancies under uncertainty: Evidence from COVID-19 and lockdown nexus.Journal of international money and finance · 2022Article
- How does COVID-19 influence dynamic spillover connectedness between cryptocurrencies? Evidence from non-parametric causality-in-quantiles techniques.Finance research letters · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cryptocurrency markets are complex systems based on speculation. Where investors interact using strategies that generate some biases responsible for endogenous instabilities. This paper investigated the herding biases by quantifying the self-similarity intensity of cryptocurrency returns' during the COVID-19 pandemic. The main purpose of this work was to study the level of cryptocurrency efficiency through multifractal analysis before and after the coronavirus pandemic. The empirical results proved that COVID-19 has a positive impact on the cryptocurrency market efficiency.
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