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algorithmic-stablecoins-failures-and-future
Blog

Why Half-Backed Stablecoins Are a Dangerous Compromise

Static 50% collateral ratios create a predictable, non-adaptive failure point. This analysis deconstructs the flawed risk logic of hybrid models like Frax, exposing why they are more fragile than they appear.

introduction
THE COMPROMISE

The Siren Song of the Middle Ground

Hybrid stablecoins attempt to blend crypto-collateralization with fiat backing, creating a structurally unsound product that fails at both security and scalability.

Hybrid stablecoins are structurally unsound. They combine the off-chain counterparty risk of a Tether with the on-chain liquidation risk of a MakerDAO DAI. This creates two distinct failure modes instead of one, increasing systemic fragility for marginal efficiency gains.

The peg is defended by the weaker link. In a crisis, the fiat-redeemable tranche will be drained first, leaving the crypto-backed portion to absorb the full depeg. This is not a feature; it is a liquidity waterfall that guarantees the crypto side fails under pressure.

Evidence: Frax Finance's sFRAX experiment demonstrates this tension. The protocol attempts to algorithmically manage a dual-backing pool, but its historical reliance on centralized USDC reserves and complex yield strategies exposes the fundamental governance and execution risk of the model.

deep-dive
THE LIQUIDITY TRAP

Deconstructing the 50% Fallacy

Half-collateralized stablecoins create systemic risk by mispricing liquidity and concentrating depeg pressure.

The 50% model misprices liquidity risk. It assumes the volatile 50% collateral (e.g., ETH) provides a reliable liquidity buffer during a market crash. This ignores the liquidation cascade where collateral value and market liquidity evaporate simultaneously, as seen in the 2022 Terra/Luna collapse.

This creates a concentrated failure point. Unlike fully-backed models (USDC, DAI) or overcollateralized ones (MakerDAO's DAI), the half-backed structure concentrates all depeg pressure onto a single, thin layer of on-chain liquidity, making it a predictable target for attacks like those seen on Frax Finance's early pools.

The 'algorithmic' component is a liquidity illusion. The promised arbitrage mechanism relies on perpetual market efficiency. In a crisis, the reflexivity loop between the stablecoin price and its volatile collateral breaks, turning the stabilizing mechanism into an accelerator of its own collapse.

Evidence: Historical depegs, from Iron Finance to UST, demonstrate that sub-100% collateralization ratios fail precisely when they are needed most. The required liquidity to defend the peg in a 30% market drop exceeds the protocol's designed capacity by orders of magnitude.

LIQUIDATION CASCADE RISK

Stress Test: Collateral Liquidity Under Pressure

Compares collateral resilience of stablecoin models under a 30% ETH price drop and 5% DEX slippage.

Collateral MetricOvercollateralized (e.g., DAI, LUSD)Fractional-Algorithmic (e.g., FRAX, Ethena USDe)Pure-Algorithmic (e.g., UST, Basis Cash)

Collateral Ratio at Launch

150%

90-95%

0%

Primary Liquidation Buffer

On-chain Surplus (e.g., Maker Surplus Buffer)

Yield & Hedging Strategy (e.g., stETH + Perp Short)

Seigniorage Promises & Peg Stability Module

Liquidation Timeframe (95% Confidence)

2-4 hours (via Maker, Aave auctions)

Minutes (DEX/Perp unwind)

< 1 hour (PSM depletion)

Max Single-Day Redemption Capacity

$500M - $1B (via PSM/DSR)

$100M - $300M (via Curve/Uniswap liquidity)

$50M (PSM depth pre-depeg)

Recovery Mechanism Post-Depeg

Surplus Auction & Governance Vote (DAI Savings Rate)

Direct Arbitrage & Yield Incentives (Curve wars)

Contraction Burns & Death Spiral

Historical Depeg Survival (30%+ drawdown)

Key Systemic Dependency

ETH/BTC Price Correlation

CEX Liquidity & Funding Rates

Pure Reflexive Demand

counter-argument
THE LAG PROBLEM

The Rebuttal: "But Our Algorithm Adjusts!"

Algorithmic adjustments are reactive, creating a fatal lag between market stress and corrective action.

Reactive systems fail first. An algorithm triggers a collateral ratio adjustment only after the depeg occurs, creating a negative feedback loop where selling pressure accelerates the very shortfall the algorithm tries to fix.

Market moves faster than governance. Compare this to MakerDAO's real-time PSM or the instant arbitrage of Curve 3pool liquidity. An algorithmic vote to mint/burn tokens operates on a timescale of days, while a bank run happens in minutes.

The data proves the lag. The death spiral of Terra's UST was algorithmic. Its mint/burn mechanism for LUNA was designed to arbitrage the peg, but the on-chain lag between depeg signal and arbitrageur action was the exploit vector that destroyed $40B in days.

case-study
WHY HALF-BACKED STABLECOINS ARE A DANGEROUS COMPROMISE

Anatomy of a Near-Miss: The DAI PSM Crisis

The 2023 DAI PSM depeg exposed the systemic fragility of fractional reserve models in decentralized finance.

01

The PSM: MakerDAO's Achilles' Heel

The Peg Stability Module was a single-point-of-failure liquidity pool allowing 1:1 DAI-USDC swaps. When USDC depegged due to SVB contagion, it created a direct arbitrage attack vector, draining the module of $3.3B in collateral in hours. This revealed that DAI's stability was parasitically dependent on a centralized asset it was meant to compete with.

$3.3B
PSM TVL Drained
~8 hours
To Near-Depletion
02

Fractional Reserve is a Contagion Conduit

The crisis proved that collateral correlation kills decentralization. DAI was ~50% backed by centralized stablecoins (USDC, USDP). When one faltered, the entire system's solvency was questioned, forcing emergency governance votes. This is the core flaw of FRAX, LUSD's chicken bonds, and other hybrid models—they create a fragile link between decentralized and centralized monetary systems.

>50%
Centralized Backing
Emergency Vote
Governance Response
03

The Overcollateralized Alternative

Pure overcollateralization (e.g., early DAI, Liquity's LUSD) remains the only battle-tested model for censorship-resistant stability. It trades capital efficiency for unbreakable solvency guarantees, as loans are always backed by excess ETH or stETH. The trade-off is clear: accept lower supply growth or reintroduce the very systemic risks DeFi aims to eliminate.

>100%
Minimum Collateral Ratio
0
Centralized Dependencies
04

RWA Vaults: Repeating the Mistake

MakerDAO's pivot to Real-World Asset (RWA) vaults (e.g., $1.2B in US Treasury bills) is the PSM failure on a larger scale. It replaces one centralized liability (USDC) with another (traditional finance custody). While yielding revenue, it reintroduces counterparty risk, regulatory attack surfaces, and oracle dependency, making DAI a tokenized shadow of the traditional system.

$1.2B+
RWA Exposure
New Oracles
Single Point of Failure
takeaways
THE FRAGILE FOUNDATION

TL;DR for Protocol Architects

Half-backed stablecoins attempt to balance capital efficiency with stability, but introduce systemic risks that undermine their core promise.

01

The Liquidity Illusion

Protocols like Frax Finance and Ethena's USDe rely on volatile collateral (e.g., staked ETH, LSTs) for the 'unbacked' portion. This creates a reflexive dependency where a market crash simultaneously depletes collateral value and triggers mass redemptions, risking a death spiral.

  • Reflexivity Risk: Collateral devaluation and redemption pressure are positively correlated.
  • Oracle Dependency: Stability hinges on real-time, uncensorable price feeds during black swan events.
  • Contagion Vector: A failure can cascade to integrated DeFi protocols (Aave, Compound, Curve) holding the asset.
40-70%
Collateral Ratio
$10B+
Combined TVL at Risk
02

The Custodial Black Box

The 'backed' portion often relies on off-chain treasury management (e.g., Tether, USDC holdings) or centralized exchange balances for delta-neutral hedging. This reintroduces the exact counterparty risks DeFi aims to eliminate.

  • Verifiability Gap: You cannot cryptographically verify the full reserve in real-time.
  • Regulatory Attack Surface: A single seizure order (OFAC) on a centralized custodian can freeze the stable portion.
  • Bridge Risk: Funds are often on traditional rails, requiring trusted bridges (like Wormhole, LayerZero) to reach the chain, adding another failure point.
1
Single Point of Failure
Days
Audit Lag
03

The Complexity Trap

Maintaining the peg requires active, profitable management of yield strategies (staking, futures basis trades) for the algorithmic portion. This operational complexity is a perpetual source of smart contract and execution risk.

  • Yield Dependency: Peg stability assumes perpetual positive yield, which fails in flat or inverted markets.
  • Managerial Risk: Relies on governance or keepers to adjust parameters (collateral ratio, fees) under extreme volatility.
  • Composability Hazard: Their intricate mechanics make them 'fragile legos'—difficult for other protocols to integrate safely without deep risk assessment.
100+
Smart Contract Interactions
Basis Points
Daily Yield Required
04

The Regulatory Arbitrage Fallacy

Projects often position half-backed models as a regulatory workaround. This is a dangerous misreading. Regulators (SEC, CFTC) will target the economic reality—if it quacks like a security (profit-sharing via yield) and is marketed like a dollar, it will be treated as both.

  • Dual Enforcement Risk: Vulnerable to securities and payments regulations simultaneously.
  • Anchor Liability: The 'backed' portion provides a clear, traditional asset for regulators to seize or freeze.
  • Precedent Risk: A crackdown on one (e.g., legal action against Ethena's synthetic dollar model) creates precedent for all.
2x
Regulatory Surface Area
High
Probability of Action
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Why Half-Backed Stablecoins Are a Dangerous Compromise | ChainScore Blog