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Cryptocurrency Market Maturation and Evolving Risk Profiles: A Comparative Analysis of Bitcoin and Ethereum Tail Risk Dynamics
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DOI：10.3390/fintech5020028.png)
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Abstract
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This paper examines the market maturation hypothesis in cryptocurrency markets through a three-stage analysis of the evolution of tail risk in Bitcoin (BTC) and Ethereum (ETH). Using daily closing prices from January 2015 to February 2026 for BTC (n = 4058) and November 2017 to February 2026 for ETH (n = 3015), we employ 365-day rolling windows-reflecting the continuous 24/7 operation of cryptocurrency markets-to trace the temporal dynamics of Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), and Maximum Drawdown (MDD). The empirical strategy combines (i) Newey-West trend tests on rolling risk metrics, (ii) regime-conditional analysis across market states (Bull, Bear, or Neutral) and volatility regimes (high/low uncertainty), and (iii) exceedance correlation analysis to capture asymmetric BTC-ETH tail dependence. The results are consistent with the market maturation hypothesis: all ten trend coefficients across both assets are statistically significant (p < 0.001), with linear time trends explaining up to 46.8% (BTC VaR(1)%) and 67.5% (ETH VaR(1)%) of variation in rolling tail risk. Sub-period comparisons confirm economically meaningful declines-BTC VaR(1)% fell by 22.0% and ETH VaR(1)% by 26.6% between the early and late subsamples. However, maturation is markedly asymmetric across uncertainty regimes: tail-risk reductions concentrate in low-uncertainty periods, whereas BTC MDD in high-uncertainty regimes shows no significant improvement (+1.0%, p = 0.176). Excess correlation analysis reveals a persistent and widening downside asymmetry (rho(-) = 0.847 vs. rho(+) = 0.246 at the 90th percentile), with late-period upper-tail correlation turning negative (rho(+) = -0.175 at the 95th percentile), implying that portfolio diversification within the cryptocurrency asset class remains illusory during market stress. These findings carry direct implications for institutional risk management, stress-testing frameworks, and prudential regulation of digital assets.
Keywords:
cryptocurrency
market maturation
tail risk
Value-at-Risk
Conditional Value-at-Risk
maximum drawdown
Bitcoin
Ethereum
exceedance correlations
asymmetric dependence
rolling-window analysis
volatility regimes
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