Algorithmic stablecoins rely on rules and market incentives rather than full reserve backing to preserve a peg, which makes them particularly prone to liquidity risk when confidence falters. Benoît Cœuré at the Bank for International Settlements has highlighted that designs depending on arbitrage and mint/burn mechanisms can be fragile under stress, because they substitute hard collateral with economic incentives that collapse when markets move fast. Such fragility matters because stablecoins are increasingly used for payments, savings, and DeFi positions, magnifying systemic exposure.
Mechanisms that amplify liquidity risk
The core cause is procyclicality: an algorithmic peg typically adjusts supply through automated minting or burning and relies on arbitrageurs to restore parity. If prices deviate, arbitrage requires liquid counterparties and functioning markets. During volatility those counterparties withdraw, bid-ask spreads widen, and the algorithm forces larger supply adjustments that accelerate price moves. John M. Griffin at the University of Texas has documented how market structure and incentives can produce persistent distortions; in algorithmic constructs those distortions convert valuation gaps into funding and redemption stress. A mechanism intended to stabilize becomes a multiplier when liquidity vanishes.
Real-world consequences and policy response
The May 2022 collapse of TerraUSD and Luna illustrated these dynamics: rapid de-peg triggered massive supply expansion, illiquid markets, and contagion across crypto exchanges and lending protocols, producing large investor losses and frozen positions. Gary Gensler at the U.S. Securities and Exchange Commission warned that such collapses expose retail investors and payment users to concentrated losses. Beyond direct financial losses, consequences include loss of access to stable settlement media for remittances and savings in jurisdictions where bank access is limited, introducing social and territorial inequities. Communities that rely on crypto for everyday transactions can therefore suffer disproportionately when liquidity evaporates.
Because algorithmic models lack transparent, high-quality liquid reserves, they propagate stress to broader markets: intermediaries forced to liquidate collateral can depress related asset prices, tightening funding across exchanges and DeFi platforms. This creates a feedback loop between market liquidity and protocol mechanics. Regulators and international bodies increasingly call for robust liquidity buffers, disclosure standards, and supervision to mitigate systemic spillovers. Effective mitigation requires aligning incentives, requiring hard collateral or credible backstops, and recognizing the human and territorial impacts where stablecoins function as both financial infrastructure and everyday money.