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algorithmic-stablecoins-failures-and-future
Blog

The Cost of Ignoring Run Dynamics in Stablecoin Design

Algorithmic stablecoin models fail because they treat economic actors as rational. This analysis dissects the non-linear, panic-driven run dynamics that broke Terra's UST and challenges current designs like Frax, arguing that ignoring human psychology is a fatal design flaw.

introduction
THE OVERLOOKED ENGINE

Introduction

Stablecoin design obsesses over collateral and governance while ignoring the operational mechanics that dictate real-world performance and risk.

Ignoring run dynamics is the primary failure mode for stablecoin architects. Teams focus on collateral ratios and governance votes, but the liquidity and settlement mechanics during a crisis determine survival. This is a first-principles engineering problem, not a monetary policy debate.

On-chain vs. Off-chain settlement creates a fatal mismatch. A token like USDC settles instantly on-chain, but its underlying reserve redemption operates on a 1-2 day banking cycle. This latency is the attack surface for bank-run scenarios, as seen with the depeg of UST.

Protocols like MakerDAO and Frax Finance now model these dynamics, but most designs treat the stablecoin as a static asset. The real test is the withdrawal queue—whether it's a smart contract limit or a Tether-style manual gate—which defines its fragility.

deep-dive
THE MODEL FAILURE

Deconstructing the Death Spiral: From Linear Model to Non-Linear Panic

Stablecoin designs that ignore run dynamics treat redemptions as a linear process, a fatal flaw that guarantees systemic collapse.

Linear models are catastrophic simplifications. They assume a stable, predictable relationship between price and redemption pressure. This ignores the feedback loops where price drops trigger liquidations, which increase sell pressure, accelerating the death spiral.

Non-linear panic is the reality. User behavior shifts from rational arbitrage to survival instinct. The redemption function becomes convex, not linear, as seen in the collapse of Iron Finance's TITAN and Terra's UST.

Protocols must model worst-case liquidity. The velocity of capital flight during a bank run, measured in blocks, not days, defines failure. MakerDAO's PSM and Aave's stablecoin GHO incorporate circuit breakers and rate models to dampen these dynamics.

THE COST OF IGNORING RUN DYNAMICS IN STABLECOIN DESIGN

Post-Mortem: How Run Dynamics Shattered Theoretical Models

A comparative autopsy of stablecoin failure modes, analyzing how real-world bank run mechanics invalidated theoretical equilibrium models.

Critical Failure VectorAlgorithmic (UST/LUNA)Overcollateralized (DAI pre-2022)Centralized (USDT/USDC)

Theoretical Collateral Buffer

0% (Seigniorage Shares)

150%+ (ETH)

100%+ (Commercial Paper/T-Bills)

Liquidity Depth at -1% Depeg

<$500M (Curve 3pool)

$1.5B (Maker/PSM)

Effectively Infinite (Issuer OTC)

Primary Redemption Mechanism

Arbitrage Burn/Mint (24h delay)

Direct Vault Liquidation (auction)

1:1 Fiat Withdrawal (KYC gate)

Run Acceleration Trigger

Anchor Yield drop >5% (social contagion)

ETH price drop 30% in <24h (liquidation cascade)

Commercial Paper freeze (SVB/Circle)

Time to -10% Depeg from Stability

<72 hours

Never (maintained peg)

<48 hours (USDC SVB)

Defense: Dynamic Fee Surcharge

Defense: Circuit Breaker Halt

Post-Mortem Peg Recovery Time

Never (protocol dead)

<24 hours

<72 hours (Fed backstop)

counter-argument
THE RUN DYNAMICS

The Bull Case: Are Hybrid Models the Answer?

Hybrid stablecoin models directly address the capital inefficiency of overcollateralization and the fragility of algorithmic designs by leveraging run dynamics as a core feature.

Hybrid models are capital-efficient stability. They combine a collateralized core with an algorithmic buffer, requiring less locked capital than MakerDAO's DAI while being more resilient than Terra's UST.

The algorithmic component absorbs volatility. During price deviations, rebalancing mechanisms like those in Frax Finance's AMO activate, algorithmically expanding or contracting supply to defend the peg without manual governance.

This creates a dynamic equilibrium. The system treats speculative runs as a design input, not a failure mode. Ethena's USDe uses delta-neutral derivatives to generate yield that funds its stability mechanism.

Evidence: Frax's sFRAX vault, a core stability lever, has processed over $1B in deposits, demonstrating market trust in its hybrid rebalancing logic.

takeaways
RUN DYNAMICS

Key Takeaways for Builders and Investors

Stablecoin design that ignores the mechanics of a bank run is a protocol with a built-in kill switch.

01

The Problem: The $3.3B Iron/TITAN Death Spiral

The 2021 collapse proved that algorithmic designs with reflexive feedback loops are inherently unstable. The "death spiral" is not a bug but a feature of flawed run dynamics.

  • Key Flaw: TITAN token was the sole collateral backstop; its price collapse directly reduced the system's ability to redeem IRON.
  • Key Lesson: A stablecoin's stability mechanism must be exogenous and non-reflexive to survive a panic.
$3.3B
TVL Lost
48h
To Zero
02

The Solution: MakerDAO's PSM as a Circuit Breaker

Maker's Peg Stability Module (PSM) is a masterclass in run dynamics. It creates a deep, non-volatile liquidity pool (e.g., USDC) that acts as a shock absorber.

  • Key Benefit: During de-pegs, arbitrageurs can mint/burn DAI against the PSM at 1:1, providing immediate, low-slippage exit liquidity.
  • Key Benefit: It decouples DAI's short-term peg stability from the volatile performance of its primary (ETH-based) collateral vaults.
~$1.5B
PSM Liquidity
1-2%
Max Depeg
03

The Problem: Frax Finance's AMO Liquidity Fragility

Frax's Algorithmic Market Operations (AMOs) optimize capital efficiency but create hidden liquidity mismatches. During a run, the system must rapidly unwind complex DeFi positions to meet redemptions.

  • Key Flaw: Liquidity is often locked in yield strategies (e.g., Curve pools, lending markets), creating latency and potential slippage during mass exits.
  • Key Lesson: Real-time, unencumbered liquidity must be modeled as the primary constraint, not an afterthought.
>70%
Capital in AMOs
Hours/Days
Unwind Time
04

The Solution: Ethena's sUSDe & The Synthetic Dollar Playbook

Ethena's sUSDe explicitly models run dynamics via its custody and hedging framework. It treats the staked derivative as a liability that must be instantly redeemable.

  • Key Benefit: Delta-neutral backing via short ETH futures positions theoretically isolates the stablecoin's value from underlying collateral volatility.
  • Key Benefit: The "Internet Bond" narrative creates a sticky yield that disincentivizes rapid exits, altering user behavior to favor holding.
$2B+
TVL
~30% APY
Sticky Yield
05

The Problem: Terra's UST & The Anchor Yield Trap

UST's fatal flaw was using subsidized demand (20% APY) to bootstrap adoption, which attracted purely mercenary capital. This created a convexity of risk: the larger the system grew, the more devastating the inevitable run.

  • Key Flaw: The stability mechanism (LUNA mint/burn) could not scale to meet redemption demands during a coordinated, cross-exchange attack.
  • Key Lesson: Sustainable demand must be organic (utility-driven), not subsidized. Yield is a liability, not a feature.
$40B+
Market Cap
7 Days
Collapse
06

The Investor Lens: Stress Test the Redemption Queue

Due diligence must move beyond TVL and APY. The critical question is: "What happens when 30% of holders want out in 24 hours?"

  • Key Metric: Model the velocity of collateral liquidation. How fast can the protocol convert its assets into the base currency to meet redemptions?
  • Key Metric: Audit the incentive alignment of keepers/arbitrageurs. Are they financially motivated to restore the peg, or to exacerbate the depeg for profit?
30%
Run Scenario
24h
Time Horizon
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