Key Findings
- Causal Relationship: Strong evidence links past cryptocurrency returns to future investor attention, with weaker reverse effects.
- Macroeconomic Resilience: Findings persist even when controlling for broader economic variables.
- Multi-Currency Focus: Analysis extends beyond Bitcoin to include Ethereum, Litecoin, XRP, and Tether.
Abstract
This study examines the bidirectional relationship between cryptocurrency performance and investor attention using Granger Causality tests and Vector Autoregression (VAR) models. Key results demonstrate that historical returns significantly influence subsequent attention metrics, particularly for Bitcoin, Ethereum, and Litecoin. The research incorporates macroeconomic controls while expanding analysis to five major cryptocurrencies—addressing a critical gap in existing literature.
Introduction
While Bitcoin dominates cryptocurrency research, this paper analyzes the top five cryptocurrencies by market capitalization (Bitcoin, Ethereum, XRP, Tether, Litecoin) to provide comprehensive insights into attention-return dynamics. The study builds upon existing financial market research while addressing three critical gaps:
- Limited Asset Scope: Prior works predominantly focus on Bitcoin
- Macroeconomic Omissions: Few studies incorporate economy-wide variables
- Methodological Constraints: Overreliance on single-direction causality tests
Literature Review
Recent studies reveal:
- Google searches correlate with equity market volatility (Perlin et al., 2017)
- Twitter activity partially drives Bitcoin prices (Philippas et al., 2019)
- Bitcoin attention shows bi-directional causality in distribution tails (Dastgir et al., 2019)
This study advances the field by:
👉 Analyzing multi-cryptocurrency attention patterns
- Incorporating macroeconomic controls
- Employing both Granger and VAR methodologies
Methodology
Data Collection
- Weekly closing prices (Sunday) for 5 cryptocurrencies
- Timeframe: April 2017 - February 2020
- Sources: investing.com, Google Trends data
Analytical Framework
- Granger Causality Tests: Identify lead-lag relationships
- VAR Modeling: With 2 lags and macroeconomic controls
- Robustness Checks: Alternative specifications and subsamples
Results
Key Patterns
- Synchronized attention spikes across cryptocurrencies in late 2017
- Bitcoin maintains strongest return-attention linkage
Macroeconomic variables exhibit varying significance:
- Strong Impact: Interest rates, inflation expectations
- Weak Impact: Equity market returns
Performance-Attention Nexus
| Cryptocurrency | Return → Attention | Attention → Return |
|---|---|---|
| Bitcoin | * | * |
| Ethereum | * | - |
| Litecoin | ** | - |
| XRP | * | - |
| Tether | - | - |
p<0.01, p<0.05, p<0.1
FAQ Section
Q: Why include multiple cryptocurrencies?
A: Single-currency studies risk omitted variable bias and miss cross-crypto attention spillovers.
Q: How do macroeconomic factors matter?
A: They help distinguish crypto-specific effects from broader financial market influences.
Q: What's the practical implication for investors?
A: Return patterns may signal upcoming attention shifts—valuable for timing entry/exit points.
👉 Mastering cryptocurrency investment strategies
Conclusions
This research establishes that:
- Cryptocurrency returns systematically lead investor attention
- Effects remain robust to macroeconomic controls
- Patterns vary significantly across currencies
Future studies should incorporate high-frequency data and alternative attention proxies like blockchain analytics.