Bitcoin price extremes and implications for financial regulation

Abstract

Cryptocurrency regulation faces a fundamental mismatch between static rules and rapidly transforming markets. We demonstrate that Bitcoin alternates between bounded and unbounded price regimes, requiring adaptive rather than uniform regulatory frameworks. Using extreme value theory on over a decade of Bitcoin data, we show that tail risk characteristics switch between finite-limit and heavy-tailed regimes, with profound implications for investor protection, capital requirements, and systemic risk management. Traditional approaches either overregulate during stable periods or underprotect during volatile regimes. We propose regime-contingent regulatory frameworks that automatically adjust oversight intensity based on statistical detection of tail risk characteristics. Backtesting over 2016–2025 demonstrates that the adaptive framework reduces average capital requirements by 79% overall and by 84% during bounded regimes while escalating protections before major crashes, outperforming static Basel III-style rules. Robustness analyses across multiple window lengths (90, 180, 365, and 730 days), thresholds, and bootstrap specifications confirm that regime-switching is a persistent structural feature of Bitcoin markets. Implementation requires international coordination, transparent methodology, and clear adjustment protocols.