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algorithmic-stablecoins-failures-and-future
Blog

Why Elastic Supply Needs a Collateral Backstop to Survive

A first-principles analysis of why purely algorithmic, non-redeemable elastic supply models are structurally flawed. We examine the failures of Terra, Ampleforth, and the hybrid success of Frax to argue that a collateral backstop is the only viable path forward.

introduction
THE FLAW

Introduction

Elastic supply tokens fail without a collateral backstop because their rebasing mechanism is a confidence game.

Elastic supply is a promise. Protocols like Ampleforth and OlympusDAO issue tokens that algorithmically expand and contract supply to target a price. This rebasing mechanism functions only as long as market participants believe the peg is credible.

Rebasing is not collateral. The core failure is mistaking a governance rule for financial backing. A smart contract that mints or burns tokens to chase a price oracle is not a balance sheet. It is a rule that breaks when confidence evaporates.

Confidence is volatile collateral. Every elastic token's history shows the death spiral dynamic. Downward price pressure triggers a supply contraction, which is perceived as dilution, causing further selling. This positive feedback loop destroys the system.

Evidence: OlympusDAO's (OHM) fall from $1,300 to $10 demonstrated this. Its treasury-backed model was insufficient; during a crisis, the market priced the token below its backing per OHM, proving that perceived future cash flows, not just assets, determine value.

thesis-statement
THE MECHANICAL IMPERATIVE

The Core Thesis: Redemption is the Anchor

Elastic supply tokens require a credible, on-chain redemption mechanism to maintain their peg and prevent death spirals.

Redemption is the arbitrage floor. Without a direct, on-chain mechanism to burn tokens for underlying collateral, the peg relies solely on speculative demand. This creates a fragile system vulnerable to the reflexivity seen in failed algorithmic stablecoins like Basis Cash.

Collateral backstops are non-negotiable. A protocol like Frax succeeds where Ampleforth struggles because its fractional-algorithmic model guarantees a minimum redemption value. This transforms the token from a pure volatility game into a hardened financial primitive.

The mechanism defines the asset class. Compare MakerDAO's DAI (redeemable for collateral) to a purely rebasing token. The former is a stablecoin; the latter is a speculative derivative. Redemption anchors the long-term valuation, separating money from memes.

Evidence: Frax Finance's stability during the 2022 depeg crisis, where its redemption mechanism absorbed sell pressure, contrasts with the collapse of purely algorithmic models that lacked a tangible backstop.

case-study
WHY PURE ALGORITHMICS FAIL

Case Studies in Failure & Adaptation

Elastic supply tokens collapse without a hard value floor; these protocols show the critical need for a collateral backstop.

01

Ampleforth (AMPL): The Rebase Trap

The Problem: Pure algorithmic rebasing failed to create a stable unit of account. Daily supply changes of ±10% caused user attrition and made it unusable as money. The Solution: Introduced FORTH governance token and explored Frax Finance-style hybrid models, but the core peg mechanism remained fragile without direct collateral.

  • Key Lesson: Daily supply volatility destroys utility, regardless of long-term peg convergence.
-99%
From ATH
±10%
Daily Rebase
02

TerraUSD (UST): The Death Spiral Archetype

The Problem: Reliance on a seigniorage share model with a volatile governance token (LUNA) as the sole backstop. A loss of confidence triggered a reflexive death spiral, vaporizing ~$40B in value. The Solution: The failure was terminal. Post-collapse adaptation (Terra 2.0) abandoned the algorithmic stablecoin entirely, proving the model's fatal flaw.

  • Key Lesson: A fractional, volatile collateral asset cannot defend a peg under stress; it amplifies the crash.
$40B
Value Destroyed
3 Days
To Depeg
03

Frax Finance: The Hybrid That Survived

The Problem: Initial algorithmic design risked a Terra-like collapse during the 2022 contagion. The Solution: Pivoted to a hybrid model, accumulating USDC collateral to back the FRAX peg. Now operates with a ~90% collateral ratio, acting as a fully-backed stablecoin with algorithmic yield. This created a defensible floor.

  • Key Lesson: A verifiable, liquid collateral base (even if fractional) is non-negotiable for long-term survival.
~90%
Collateral Ratio
$1.5B
TVL
04

Empty Vaults & Oracle Attacks

The Problem: Early elastic protocols like Empty Set Dollar (ESD) and Dynamic Set Dollar (DSD) relied on bonding mechanisms with no intrinsic value. They were vulnerable to oracle manipulation and whale-driven governance attacks. The Solution: These projects faded into obscurity. Their failure underscored that algorithmic incentives alone are not capital; you cannot bootstrap trust from an empty vault.

  • Key Lesson: If the redemption floor is zero, the market price will eventually find it.
0
Hard Backing
Multiple
Oracle Attacks
WHY ELASTIC SUPPLY NEEDS A COLLATERAL BACKSTOP

The Collateral Spectrum: A Comparative Analysis

Compares the primary mechanisms for stabilizing elastic supply tokens, detailing their operational logic, risk vectors, and capital efficiency.

Stabilization MechanismAlgorithmic (Pure Seigniorage)Fractional-Algorithmic (e.g., Frax v1)Overcollateralized (e.g., MakerDAO, Liquity)

Primary Stabilization Logic

Supply expansion/contraction via rebasing

Algorithmic + Partial FXS/ETH collateral pool

100% on-chain asset collateralization

Collateral Ratio (CR) Range

0%

Variable (e.g., 80%-100%)

Fixed >100% (e.g., 110% for ETH, 150% for LSTs)

Capital Efficiency (Stablecoin / Locked Value)

Theoretically infinite

1.0x - 1.25x

< 1.0x (e.g., ~0.91x at 110% CR)

Depeg Defense (Bank Run Scenario)

Pure reflexivity; fails to death spiral

Partial buffer; CR drops, risks becoming algorithmic

Liquidation engine; forced sell-offs protect peg

Liquidation Mechanism

None

None (CR adjustment only)

Yes (e.g., 13% penalty, keeper auctions)

Protocol-Owned Liquidity (POL) Requirement

Critical for initial liquidity & exit

Helpful but not strictly required

Not required; relies on external liquidity pools

Historical Failure Rate (Pre-2022)

90% (e.g., Basis Cash, Empty Set Dollar)

~50% (e.g., Fei Protocol pre-TRIBE, Frax survived)

<1% (when properly parameterized)

Key Systemic Risk

Reflexive death spiral (sell pressure -> dilution -> more selling)

Collateral quality decay & CR management failure

Collateral asset volatility & liquidation cascade

deep-dive
THE STRUCTURAL FLAW

The Mechanics of the Death Spiral

Elastic supply tokens fail without a collateral backstop because their value proposition is purely reflexive.

Reflexivity is a terminal condition. An elastic supply token's price is its only fundamental. A price drop triggers a supply contraction, which is perceived as dilution, causing further selling. This creates a positive feedback loop with no external anchor to halt the descent.

Collateral acts as a circuit breaker. Protocols like Frax Finance and Ampleforth learned that a hard asset reserve (e.g., USDC, ETH) provides a non-reflexive valuation floor. This backstop absorbs selling pressure before the rebase mechanism engages, preventing panic.

Compare MakerDAO vs. Empty Rebasing. Maker's DAI has a collateralized debt position (CDP) system where liquidation auctions convert ETH to DAI to maintain the peg. A pure rebaser like the original Basis Cash had only algorithmic promises, which the market correctly priced at zero.

Evidence: Frax's shift to a hybrid collateral model (now Frax v3) increased its market cap stability during the 2022 bear market, while purely algorithmic stablecoins like TerraUSD (UST) demonstrated the catastrophic endpoint of the death spiral.

counter-argument
THE DEATH SPIRAL

Counter-Argument: Can Pure Algorithms Ever Work?

Algorithmic stablecoins without a collateral backstop are structurally vulnerable to reflexive feedback loops that guarantee failure.

Reflexivity guarantees failure. A pure algorithmic design relies on market participants to maintain the peg, but their incentives invert during stress. The death spiral is a mathematical certainty, not a risk, as seen in the collapse of Terra's UST.

Elastic supply is pro-cyclical. Rebase mechanisms that expand supply during a price drop increase sell pressure, creating a positive feedback loop. This is the opposite of a central bank's counter-cyclical mandate.

Collateral is a circuit breaker. A backstop like MakerDAO's DAI model or Frax's hybrid design absorbs volatility. It provides a non-reflexive price floor, breaking the feedback loop that destroys pure algorithmic systems.

Evidence: Every major pure-algorithmic stablecoin has failed. UST's $40B collapse is the canonical case. Ampleforth's AMPL, despite surviving, has experienced volatility exceeding 50% from its target, rendering it useless as a stable medium of exchange.

takeaways
ELASTIC SUPPLY SUSTAINABILITY

Key Takeaways for Builders & Investors

Uncollateralized elastic supply models are mathematically destined to fail; a robust collateral backstop is the only viable long-term mechanism.

01

The Death Spiral is a Feature, Not a Bug

Pure algorithmic models like Ampleforth and Terra Classic (UST) demonstrate that without a hard value floor, supply contraction accelerates price decline.\n- Reflexivity: Lower price triggers token burns, increasing sell pressure from stakers.\n- No Exit Liquidity: In a crisis, the system's own mechanics drain all available buy-side depth.

>99%
Drawdown Risk
0
Natural Floor
02

Overcollateralization is the Only Stable Attractor

Systems like MakerDAO's DAI and Liquity's LUSD succeed because their stability is enforced by excess collateral liquidated at a penalty.\n- Incentive Alignment: Arbitrageurs are paid to restore peg via liquidations, not speculation.\n- Value Backstop: The protocol's treasury (e.g., PSM, ETH collateral) provides definitive, asset-backed redemption.

150%+
Typical CR
$10B+
Proven TVL
03

Hybrid Models: Frax Finance's Path

Frax v2 pioneered the fractional-algorithmic model, using a collateral ratio (CR) that adjusts dynamically. This creates a soft backstop.\n- CR > 100%: Fully collateralized, acting like DAI.\n- CR < 100%: Algorithmic share absorbs volatility, but the collateral pool sets a hard minimum value.\n- AMO: Algorithmic Market Operations controller manages supply against the collateral anchor.

Dynamic
Collateral Ratio
$1B+
Protocol Equity
04

Builders: Design for the Worst-Case, Not the Mean

The critical engineering challenge is liquidity under extreme volatility. The backstop must be: \n- Immediately Accessible: No time-locks or governance delays during a bank run.\n- Non-Correlated: Avoid reflexive asset backing (e.g., using the protocol's own token).\n- Capital Efficient: Use mechanisms like Liquity's Stability Pool or Ethena's delta-neutral hedging to maximize backing per dollar.

<1 hour
Liquidation Speed
Delta-Neutral
Ideal Backing
05

Investors: The Redemption Test

Evaluate any elastic supply protocol by a single stress test: Can users redeem for the underlying collateral at or near peg during a market-wide crash?\n- If No: It's a ponzi-nomic token reliant on perpetual growth.\n- If Yes: It has a defensible moat. Scrutinize the size, liquidity, and custody of the backing assets.

1:1
Redemption Parity
On-Chain
Proof Required
06

The Endgame: Protocol-Controlled Value

The ultimate evolution is a self-sustaining treasury that acts as the permanent backstop. This is the Olympus DAO (OHM) model, but applied to a stablecoin.\n- Protocol-Owned Liquidity: Revenue from stability fees and arbitrage builds a diversified treasury.\n- Flywheel: Treasury yield strengthens the backstop, increasing confidence and demand.\n- Risk: Shifts from algorithmic failure to treasury management and diversification risk.

$100M+
Treasury Target
Yield-Bearing
Backing Assets
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Why Elastic Supply Needs a Collateral Backstop to Survive | ChainScore Blog