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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.

The Mechanics of Algorithmic Stablecoin Collapse

Algorithmic stablecoins that rely on an endogenous twin token to absorb volatility (such as the Terra/UST model) are vulnerable to reflexive bank runs. When selling pressure overwhelms arbitrage incentives, the mint/burn mechanism enters a hyperinflationary spiral that destroys market confidence.

Early Warning Indicators of Peg Stress

Depegs rarely happen without advance warning. On-chain liquidity pools (like Curve and Uniswap) show imbalances first as smart money exits before retail traders on centralized exchanges notice. When a stablecoin pool ratio skews beyond 80/20, peg defense is under severe stress.

Risk Management Rules for Dollar Holdings

  • Hold primary dry powder in fully backed, regulated stablecoins (USDC) with audited Treasury bill reserves.
  • Set automated alerts for any stablecoin asset that deviates more than 0.75% from its $1.00 peg.
  • Never chase double-digit APYs on synthetic stablecoins that lack verifiable, independent liquid collateral.

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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