Bitcoin

Can Adaptive Regulation Make Bitcoin Markets Safer?

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A large Bitcoin suspended above a modern financial regulator building, with one side of the surrounding financial district under clear skies and the other beneath dark storm clouds, symbolizing the need for adaptive cryptocurrency regulation across changing market conditions.

Bitcoin (BTC ) has matured into a globally significant financial asset, solidifying its place in individuals’ and institutions’ minds and portfolios. And while the regulatory landscape has also evolved and become clearer, Bitcoin in 2026 reflects the problem regulators struggle to solve. At their peak, total crypto market cap exceeded $4 trillion while Bitcoin’s alone reached nearly $2.5 trillion.

After hitting an all-time high (ATH) around $126,000 in October 2025, the largest cryptocurrency shed more than half its value, dropping under $60,000 first in February, then in June and July of this year, as spot ETF redemptions, a stronger dollar, geopolitical shocks, and cascading leveraged liquidations fed on one another.

BTC Price Chart

What’s different about these drawdowns is that, unlike prior Bitcoin bear markets, this one wasn’t caused by the collapse of an exchange or a stablecoin getting depegged. The current bear market is the result of institutional flows, ETF basis-trade unwinds, and macro tightening, with retail panic following rather than leading the move.

But while the cause of the BTC price decline is different, the pattern remains the same as has been occurring since 2015: a long period of contained, if volatile, price behavior interrupted by recurrent episodes of gains and losses that are statistically unbounded.

This shows that Bitcoin doesn’t have only one risk profile but several, and the asset moves between them. This is exactly why Bitcoin regulation may be inefficient: regulators keep treating risk as static when the market is not, and if they write rules for a single risk profile, they will over-restrict the asset during calm periods and under-protect investors during violent ones.

So, the question that now arises is whether regulation can be built to move with the market instead of against it. New research suggests that’s possible: regulators could use real-time tail-risk measurements to tighten rules and capital requirements when risk is rising and relax them during statistically bounded periods, rather than applying one blanket standard through every phase of the cycle.

Why Static Crypto Rules No Longer Fit Dynamic Markets

It’s been close to two decades since Bitcoin was first introduced. During this period, the leading cryptocurrency has achieved a trillion-dollar market capitalization as not just retail but also public corporations, hedge funds, asset managers, endowments, retirement funds, and sovereign wealth funds have adopted Bitcoin.

This adoption is driven by regulatory clarity. For the longest time, Bitcoin operated outside regulators’ purview, but that changed over the past several years.

Initially, rules were fragmented not just globally but nationally as well, and regulators mainly relied on enforcement actions. This created significant uncertainty for builders, exchanges, custodians, institutional investors, and even users. But as crypto continued to gain mainstream traction, the global landscape had to change, and it is now more structured.

A brass balance scale sitting on a wooden desk. On the left pan sits a glowing gold Bitcoin coin surrounded by small gold tokens, and on the right pan sits a detailed miniature model of a neoclassical government building with a dome.

For instance, the European Union has introduced the Markets in Crypto-Assets Regulation (MiCA), its first comprehensive legal framework to regulate crypto and crypto asset service providers (CASPs). The framework introduces prudential requirements, governance standards, consumer protection measures, and market abuse rules across the bloc.

MiCA is a major regulatory milestone, but it only applies uniform requirements rather than dynamically adjusting oversight according to changing market risk conditions.

The regulatory landscape has also shifted significantly in the US, where the Securities and Exchange Commission (SEC) approved spot Bitcoin exchange-traded funds (ETFs), which attracted multi-billion-dollar net inflows, and where the SEC, together with the CFTC, issued guidance clarifying how federal securities and commodities laws apply to different categories of crypto, providing greater certainty around stablecoins, staking, token distributions, and investment contracts.

Congressional efforts to pass supportive legislation have also been ongoing alongside these regulatory initiatives. In July 2025, the GENIUS Act was signed into law to create a legal framework for payment stablecoins. Now, the CLARITY Act, which would establish a comprehensive federal market-structure framework for digital assets, is awaiting a Senate floor vote, having passed the House last year and cleared the Senate Banking Committee earlier this year.

Much like the EU, rules in the US aren’t regime-contingent either. So, the rules are fixed, regardless of whether Bitcoin is behaving like a contained asset or like one in the middle of a tail event.

Policymakers have clearly moved from debating whether crypto should be regulated to deciding how it should be regulated in order to balance financial stability with innovation. To do so, they are focused on risk-based supervision, consumer protection, operational resilience, prudential standards, and market integrity.

But no regard is given to how markets actually behave, which means global crypto regulations are built around static, one-size-fits-all rules. Even the Basel Committee’s proposed treatment of bank cryptocurrency exposure assigns a flat 1,250% risk weight regardless of market conditions, treating “all cryptocurrency exposure as perpetually extreme risk.”

The gap between how markets behave and how the rules are written, according to the latest study, can only be filled by adaptive regulations that respond automatically to changing market conditions. The authors noted:

“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.”

By applying worst-case capital requirements during bounded regimes, which comprise most of Bitcoin’s history, regulators risk overly constraining legitimate market development. But those very same requirements prove inadequate in protecting investors when extreme price movements occur.

“The result is perverse: excessive regulation during stability drives activity to unregulated venues, while insufficient protection during volatility exposes retail investors to catastrophic losses,” noted the study.

This is why the paper argues for adaptive regulatory frameworks that adjust oversight intensity to identified market regimes, implementing real-time statistical monitoring that triggers preset policy responses when tail behavior shifts.

An adaptive system could even reduce unnecessary barriers to institutional participation, but its failure to anticipate every major crash means adaptive regulation will supplement rather than replace broader risk controls.

A Three-Tier Framework for Adaptive Regulation

The study1Bitcoin price extremes and implications for financial regulation” took a deep dive into cryptocurrency regulation and the fundamental mismatch it faces between static rules and fast-transforming markets.

For this, it examined whether the risk profile of Bitcoin remains constant over time. But the researchers from the Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, and the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, didn’t analyze average volatility; rather, they applied Extreme Value Theory (EVT) to daily Bitcoin price data over a decade, from Jan. 2015 through Aug. 2025.

EVT is a branch of statistics built specifically for modeling behavior at the tails of a distribution. Using it, they investigated the most extreme price behavior, which is most relevant for financial regulation, capital requirements, and systemic risk management.

The researchers also estimated a rolling “shape parameter” that indicates whether the price distribution has a finite theoretical ceiling, a bounded regime, or no such ceiling at all, an unbounded regime, where extreme moves become statistically plausible rather than rare events.

The study’s central finding is that Bitcoin doesn’t sit in just one stable regime; rather, it oscillates between two distinct ones. As per the study, negative shape-parameter estimates clustered in 2015-2016, 2018-2019, and 2022-2023, periods marking Bitcoin’s bear markets and price finding its bottom before making an attempt at recovery. During these bounded regimes, Bitcoin’s price distribution has finite upper limits despite remaining highly volatile.

Meanwhile, positive, unbounded readings were seen during the late-2017 bubble, when BTC price hit almost $20,000, the 2020-2021 rally (RLY ) toward $69,000, and again in late 2024, when BTC surpassed $100,000 for the first time. During these periods, which coincide with major speculative cycles, extreme price movements become more probable and traditional financial risk models begin to fail.

A vast majority, about 86%, of the trading days examined fall into the bounded category, but the unbounded episodes concentrate almost exactly inside major bull market blow-offs, as one would expect.

As the researchers reported, the transitions from bounded to unbounded behavior don’t happen suddenly. Instead, they tend to build gradually, over a period of about 30 to 90 days, before major bull markets.

While the reversal from unbounded to bounded behavior after a crash doesn’t happen overnight either, it does occur faster, often within two to four weeks. This asymmetry is important because it suggests there is a genuine detection window before peaks, during which regulators can strengthen their oversight before speculative behavior ends up in severe corrections.

The de-escalation, however, needs to be handled more cautiously as market conditions snap back quickly. The paper also addresses a natural objection that big moves following big moves could be distorting the statistical estimates, with the authors arguing that their bootstrap resampling and robustness checks, including formal de-clustering tests, show the regime signal survives that scrutiny.

From there, the paper proposes a three-tier regulatory framework:

  1. Tier 1 involves bounded regimes, detected when the shape parameter is comfortably negative, and calls for a 200% bank risk weight, standard disclosure, quarterly reporting, and 20% circuit breakers.
  2. Tier 2 is for when the market transitions toward greater tail risk, where the parameter approaches zero, or statistical significance is borderline, and it proposes raising the bank risk weight to 500%, tail-risk warnings, enhanced disclosures, more frequent supervisory reporting, and tighter 15% circuit breakers.
  3. Tier 3 comprises confirmed unbounded regimes that push the bank risk weight to 1,000% and require stronger daily disclosure, weekly reporting, and 10% circuit breakers until the market improves.

Even at the highest tier, it’s still below Basel’s flat 1,250% but calibrated to a regime where diversification benefits can break down and expected losses may no longer be finite.

To evaluate their framework, the team backtested it against the static Basel benchmark across 2016-2025. The adaptive framework produced an average risk weight of 265% versus 1,250%, marking a 79% reduction in average capital requirements overall and an 84% reduction during bounded periods, where most trading historically occurred.

Importantly, the framework successfully increased supervisory protections two to three weeks ahead of the 2017 market crash. It’s not all foolproof, though, with the authors noting just where the framework fell short.

That was ahead of the November 2021 crash, when the model’s 365-day detection window was slower to detect the shift and never escalated in time, as it was still absorbing bounded-regime data from the prior consolidation. This limitation, per the authors, can be partially addressed by shorter 90- or 180-day windows, though not fully resolved.

The study also flagged real risks in deploying their framework in the real world. These include tier changes spooking the markets into the very behavior they’re meant to prevent. Another risk is that of sophisticated traders trying to game the statistical trigger.

Moreover, the framework only captures tail risk through Bitcoin’s own price data and does not incorporate operational risks, liquidity risk, or cross-asset contagion, all of which are also relevant for comprehensive regulation.

For effective implementation, the study suggests methodological transparency, meaning regulators need to publish their statistical criteria for regime classification to prevent manipulation, international coordination to prevent traders from shifting their activity to lenient jurisdictions, and the development of capacity for real-time statistical monitoring and automated rule adjustment.

These are the reasons the authors frame their three-tier regulatory framework as one input into a broader regulatory architecture and not as a finished, ready-to-deploy rulebook.

Overall, cryptocurrency regulation can benefit from becoming statistically responsive rather than permanently restrictive. Instead of imposing maximum prudential requirements at all times, regulators could adjust oversight based on empirically observed market conditions, improving investor protection during genuinely risky periods while avoiding unnecessary constraints during more stable phases.

“Cryptocurrency regulation stands at a crossroads,” concluded the study, with the current approaches inherited from traditional finance (TradFi) guaranteeing “failure as digital asset markets mature.”

Company in Focus: Coinbase Global, Inc.

While adaptive framework models offer a theoretical roadmap for regulators, their real-world impact will be felt directly by institutional market venues. As the primary gateway for US institutional crypto activity, Coinbase Global, Inc. (COIN ) stands directly at the intersection of these shifting regulatory regimes.

In the world of crypto, Coinbase is one of the oldest cryptocurrency exchanges, providing institutional trading, custody, prime brokerage, and related crypto infrastructure.

An adaptive regulatory framework like the one suggested in the study could benefit Coinbase if lower capital requirements during bounded regimes encourage banks, asset managers, and other institutions to expand crypto exposure. That would then increase custody assets, institutional trading activity, and infrastructure demand. Tier 3 restrictions, however, could temporarily suppress volumes and raise compliance requirements, providing a more balanced investment discussion rather than just a bullish connection.

On the regulatory front, the company has already been expanding its presence across multiple jurisdictions. In the EU, it has received a MiCA license through Luxembourg that allows it to offer regulated trading, custody, and financing services throughout the region. In the US, it has obtained conditional approval from the OCC to set up Coinbase National Trust Company.

Coinbase has consistently advocated for clearer, rules-based regulation rather than enforcement actions, having itself been the target of such action. Last year, the SEC voluntarily dismissed its enforcement case against Coinbase as the agency shifted toward developing a more comprehensive regulatory framework.

Earlier this year, Coinbase’s chief legal officer Paul Grewal commented on the CLARITY Act, saying it is “going to be a significant unlock for the industry.”

The bill has faced backlash from the banking sector, which has argued against allowing crypto firms to pay interest on stablecoins because stablecoin rewards mimic bank savings accounts without identical rules.

Many crypto firms, including Coinbase, pushed back on this, and a compromise was reached.

“The direction of the text and in particular its preservation of activity based rewards while prohibiting a passive pure bank style deposit style yield, really reflects what to us is an approach that can work and will work going forward.”

– Grewal

Coinbase co-founder and CEO Brian Armstrong also commented on the Act, expecting it to “create a lot of opportunities” for everyone, including those working on tokenization, as they gain clarity about what makes an asset a commodity or security and what the roles of exchanges and custodians are.

COIN Price Chart

When it comes to COIN’s market performance, it has been following Bitcoin’s lead, down about 64% from its peak of above $444 hit in mid-2025. As of writing, COIN is trading at $163.19, down 26% YTD and almost 56% over the past year. Coinbase has a $44 billion market cap, an EPS (TTM) of 2.63, and a P/E (TTM) of 63.64.

As for Coinbase financials, the company posted lower-than-expected results for Q1 2026 as cryptocurrency prices declined across the board. Despite the difficult market conditions, Coinbase saw net native unit inflows for the 12th consecutive quarter.

During the company’s earnings call, Armstrong said that “the world economy is moving onchain and Coinbase was built to capitalize on this transition.”

He pointed to growth in crypto trading volumes, stablecoin market cap, tokenized real-world assets, and AI agents. Coinbase, he stated, “is well positioned to win” this future thanks to its powerful network effect and being “the largest regulated stablecoin platform in the world.” The company holds 80 licenses across the world.

In the quarter ended March 31, Coinbase reported revenue of $1.41 billion, down 21% QoQ, comprising $755.8 million in transaction revenue and $583.5 million in subscription revenue. Stablecoin revenue came in at $305 million, up $31 million from a year ago, driven by growth in USDC’s market cap and the highest average USDC balance held in company products.

“USDC growth on our platform has hit another all time high despite broader crypto market performance,” said Armstrong. As the largest distributor of USDC, Coinbase captures about 50% of all USDC economics.

Meanwhile, operating expenses were down 5% QoQ to $1.4 billion, while quarterly net loss was $394 million and earnings per share were -$1.49. To counteract the effects of crypto’s cyclicity, Coinbase has been shifting toward more diversified revenue.

“We’re trying to diversify the things that people can trade so that as markets shift, as different behaviors shift, we’ll always have something that people want to trade,” Coinbase CFO Alesia Haas told CNBC at the time. “That diversification will help tamp down some of the volatility we’ve seen from pure crypto-only trading.”

To do this, the company is working on the Everything Exchange so users can trade every asset in one place, and it has seen green shoots in derivatives and prediction markets.

Coinbase recorded about $4.2 billion in derivatives trading volume in Q1. The exchange predicted that its prediction market business, launched in late January in partnership with Kalshi, would see $100 million in annualized revenue by year-end.

Coinbase ended the quarter with over $10 billion in cash and cash equivalents, while total available resources were $12 billion. The company will publish its second-quarter 2026 financial results on July 30, 2026.

Conclusion

Bitcoin is no longer a niche asset; rather, it has evolved into a legitimate asset class being widely adopted by retail and institutional investors alike. While the regulatory landscape has also been progressing favorably, providing clarity to the sector, the frameworks do not really fit crypto’s profile as they were designed for conventional financial instruments.

Given that Bitcoin is a market that behaves like a contained, tradeable asset for long stretches and then doesn’t, regulatory intensity needs to be adjusted to its specific market conditions. This means strengthening oversight during periods of heightened tail risk and reducing unnecessary regulatory burdens during relatively stable phases.

As crypto continues to mature and institutional participation expands, regulation that tracks how the market behaves may prove to be more effective.

To explore how to navigate market cycles and institutional adoption, read our comprehensive guide on investing in Bitcoin.

References

1. Chen, L., Huang, D. & Wang, S. Bitcoin price extremes and implications for financial regulation. Fundamental Research (2026). https://doi.org/10.1016/j.fmre.2026.06.016

Gaurav started trading cryptocurrencies in 2017 and has fallen in love with the crypto space ever since. His interest in everything crypto turned him into a writer specializing in cryptocurrencies and blockchain. Soon he found himself working with crypto companies and media outlets. He is also a big-time Batman fan.