Abstract
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 VaR1%) and 67.5% (ETH VaR1%) of variation in rolling tail risk. Sub-period comparisons confirm economically meaningful declines—BTC VaR1% fell by 22.0% and ETH VaR1% 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 (ρ− = 0.847 vs. ρ+ = 0.246 at the 90th percentile), with late-period upper-tail correlation turning negative (ρ+ = −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.
| Original language | English |
|---|---|
| Article number | 28 |
| Number of pages | 29 |
| Journal | FinTech |
| Volume | 5 |
| Issue number | 2 |
| Early online date | 1 Apr 2026 |
| DOIs | |
| Publication status | Published - 1 Jun 2026 |
Bibliographical note
Copyright © 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Data Access Statement
Publicly available price data were retrieved from Yahoo Finance (tickers: BTC-USD and ETH-USD). The data and code supporting the findings of this study are openly available in Zenodo [35,36].Funding
This work was supported by the European Union’s Horizon 2024 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101235440—FORCE. This publication reflects only the authors’ view, and the REA is not responsible for any use that may be made of the information it contains.
| Funders | Funder number |
|---|---|
| European Union’s Horizon 2024 research and innovation programme | |
| H2020 Marie Skłodowska-Curie Actions | 101235440 |
Keywords
- cryptocurrency
- market maturation
- tail risk
- Value-at-Risk
- Bitcoin
- Ethereum
- exceedance correlations
- volatility regimes
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