Abstract
This study examines cryptocurrency market transitions during the COVID-19 pandemic using network analysis. Key findings reveal:
- Short-term financial panic (March 12–April 1, 2020) triggered significant market synchronization.
- Progressive recovery followed, with pre-pandemic conditions largely restored by July 2020.
- Network metrics highlight evolving market phases, offering insights into herding behavior, efficiency, and diversification.
Keywords: Cryptocurrencies, COVID-19, Network Analysis, Market Synchronization, Herding, Diversification
1. Introduction
The COVID-19 pandemic disrupted global financial markets, including cryptocurrencies. While existing research focused on Bitcoin and small crypto subsets, this paper analyzes 69 long-lived cryptocurrencies to uncover systemic trends.
Key Research Objectives:
- Assess COVID-19’s impact on market synchronization.
- Track recovery phases via network centrality metrics.
- Link market transitions to financial theories (efficiency, herding).
2. Data & Methodology
2.1 Data Sources
- Brave New Coin database: Daily prices for 69 cryptocurrencies (August 2019–August 2020).
- Returns calculated as log price differences.
2.2 Network Analysis Framework
- Nodes: Individual cryptocurrencies.
- Edges: Weighted by Pearson correlation coefficients (ρ ≥ 0.7 threshold).
- Rolling windows: 15-day intervals to capture dynamics.
Key Metrics:
| Metric | Financial Interpretation |
|----------------------|---------------------------------------------------|
| Degree Centrality | Measures interconnectedness; spikes indicate panic periods. |
| Betweenness Centrality | Identifies "bridge" assets; lows suggest uniform co-movement. |
3. Empirical Results
3.1 Market Phases Identified
- Pre-Shock (Aug 2019–Mar 2020): Stable core-periphery network.
Panic Phase (Mar 12–Apr 1, 2020):
- Average degree centrality surged to 40 (vs. pre-shock average 15).
- Fully connected network topology.
- Recovery (Apr–Jun 2020): Gradual decline in synchronization.
- Post-July 2020: Pre-pandemic conditions restored.
3.2 Financial Implications
- Herding: Short-lived during panic phase; aligns with Yarovaya et al. (2020).
- Efficiency: Recovery phase supported rebound in market efficiency (Naeem et al., 2021).
- Diversification: Portfolio strategies regained viability post-April 2020 (Omanović et al., 2020).
4. Conclusion
Key Takeaways:
- COVID-19’s impact was intense but brief, with recovery by mid-2020.
- Network analysis effectively tracks market transitions and informs investment strategies.
- Future research should prioritize dynamic methodologies over static snapshots.
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FAQs
Q1: How long did COVID-19 disrupt the cryptocurrency market?
A1: Intense synchronization lasted only 3 weeks (March 12–April 1, 2020). Recovery began by April and stabilized post-July.
Q2: Did Bitcoin behave as a safe haven during the pandemic?
A2: No—Bitcoin amplified contagion initially but rebounded faster than stocks (Caferra & Vidal-Tomás, 2020).
Q3: Why use network analysis over traditional methods?
A3: Networks capture systemic dynamics, revealing phases static models miss (e.g., panic synchronization).
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