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Home Research Guides Risk Management Depeg Anatomy & Cascading Risk: Analyzing Algorithmic System Failures
Risk Management

Depeg Anatomy & Cascading Risk: Analyzing Algorithmic System Failures

David K. Miller, CQF
Head of Quantitative Risk
9 min read January 15, 2023
Executive Brief & Key Findings
Lessons from algorithmic stablecoin failures, death spirals, liquidity pool drains, and systemic collateral contagion.
Fact-checked & verified by Quantitative Crypto Research Desk Topic: Risk Management
Depeg Anatomy & Cascading Risk: Analyzing Algorithmic System Failures
Quantitative Research Desk Risk Management

Key Quantitative Takeaways

  • Unbacked algorithmic stablecoins rely on endogenous collateral and reflexive arbitrage loops that break under heavy selling.
  • A 'death spiral' happens when continuous minting of the backing token hyperinflates its supply, wiping out its value.
  • Curve 3pool and AMM liquidity imbalances provide early warnings of peg instability hours before exchange order books break.
  • Never hold uncollateralized yield-bearing synthetic dollars as long-term portfolio reserves.

An algorithmic stablecoin depeg is the collapse of a stablecoin's dollar peg that happens when its price-stabilization mechanism, usually a companion token designed to absorb volatility, fails under heavy selling pressure and enters a self-reinforcing spiral rather than restoring balance.

How the collapse mechanism works

Algorithmic stablecoins that rely on an endogenous twin token, the Terra and UST model being the most widely studied example, are designed so that arbitrageurs can burn the stablecoin to mint the volatile companion token, or vice versa, keeping the peg near one dollar under normal conditions. That design works only as long as the market believes the companion token has real value. Once selling pressure overwhelms the arbitrage incentive, the mint-and-burn mechanism starts flooding the market with newly created companion tokens, crashing their price and destroying the very backing that was supposed to defend the peg, a feedback loop that can unfold within days.

Early warning signs to watch

Depegs rarely happen without some advance warning visible on-chain. Liquidity pools on decentralized exchanges such as Curve and Uniswap tend to show imbalance first, as sophisticated holders exit ahead of retail traders who are still watching prices on centralized exchanges. When a stablecoin trading pool skews beyond roughly an 80/20 split away from its intended balance, that imbalance is a sign the peg is already under meaningful stress, even if the headline price still reads close to one dollar.

Contagion beyond the failed stablecoin

A depeg rarely stays contained to the single asset involved. Protocols that accepted the failing stablecoin as collateral face a wave of liquidations as its value drops, and lending markets that held it in reserve can face bank-run style withdrawals from panicked depositors trying to exit before losses spread further. The interconnected nature of decentralized finance means a collapse in one corner of the ecosystem can quickly pressure prices and liquidity across unrelated protocols that simply happened to share exposure.

Managing exposure to stablecoin risk

  • Hold primary dry powder in fully backed, regulated stablecoins with audited Treasury bill reserves rather than synthetic or algorithmic designs.
  • Set automated price alerts for any stablecoin holding that deviates more than roughly 0.75% from its intended one dollar peg.
  • Treat unusually high yields on synthetic stablecoins as a warning sign rather than a reason to allocate more capital, since sustainable yield rarely needs to advertise itself with double-digit returns.

David K. Miller, CQF

VERIFIED QUANTITATIVE AUTHOR

Head of Quantitative Risk

David K. Miller, CQF specializes in algorithmic cryptocurrency modeling, orderbook microstructure, and multi-timeframe liquidity sweeps. Every guide undergoes quantitative peer review for mathematical rigor and floor execution realism.

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