Terra Money: Stability and Adoption

The five-minute read

One action, walked through

1. A trader sees the stable token above the stated peg and mints it against the volatile token under the paper's exchange rate, then sells the stable token into the market.
2. A trader who sees the stable token below the peg buys it and redeems it for newly issued volatile tokens, which they sell.
3. The protocol's stated hope is that the first trade increases stable supply and the second reduces it, pulling the price back.
4. Seigniorage, when minting is profitable, is directed at the adoption plans the paper describes.
5. If redemptions keep expanding the volatile token into a falling market, the arbitrage that is supposed to defend the peg becomes the path that floods the exit.

The argument, unpacked

What has to be true

• The volatile token remains liquid at a price that makes redemption meaningful. This assumption did not hold.
• Traders can perform the mint and burn when the peg slips. Congestion and closed markets break the story.
• Payments demand is independent enough to stabilise the system. In the event, demand was not a separate pillar.
• Nothing in the design adds outside collateral equal to stable supply. Do not import that assumption from other stablecoins.

What happened after the paper

In May 2022 TerraUSD lost its peg, the volatile token collapsed as issuance expanded, and the episode became the canonical failure of this class of algorithmic stablecoin. Legal and insolvency history followed. None of that repairs the mechanism. The paper stays on the site so the design can be read in its own words, next to designs that name their collateral.

What to check before you use the idea

• What asset, other than the system's own volatile token, is a holder entitled to on redemption?
• What happens to volatile-token supply when the stable token trades below the peg for a day?
• Is 'algorithmic stability' being used as a phrase to avoid describing this loop?
• Is any later project citing this paper as a model? This page is not a licence to.

Terms

Algorithmic peg

A target price defended by mint-and-burn rules rather than by a full reserve of outside assets.

Seigniorage

The value captured when the stable token is minted at a premium, which the paper spends on adoption.

Contraction

The below-peg case, in which stable supply is meant to shrink and the volatile token's supply expands.

Reflexivity

A loop in which confidence in one token depends on the price of the other, and feeds it.

The problem the paper names

Collateralised stablecoins lock more than a dollar of assets to issue a dollar. Terra's paper proposes to issue a dollar token against a protocol token, and to maintain the peg by letting arbitrageurs mint and burn between the two.

What the design proposes

• A stable unit and a volatile unit. Minting one burns or stakes the other, under the paper's rules.
• Demand for the stable unit is supposed to come from payments, described in the paper through a partner network.
• When the stable unit is below peg, the design relies on contraction: arbitrage that reduces stable supply and expands the volatile supply.

How the mechanism is specified

• The peg is an arbitrage argument. It assumes someone will trade toward the target while the volatile unit still has a market.
• Seigniorage, in the paper, funds adoption. That is a fiscal story sitting on top of the peg story.
• Nothing in the mechanism adds exogenous collateral equal to the stable supply.

What this page does not treat as proven

• Public record after the paper: the TerraUSD peg failed in May 2022, and the design is widely treated as a failed algorithmic-stablecoin experiment.
• This page does not recount a blow-by-blow of that collapse and does not recommend any reconstruction of the mechanism.
• A paper's arbitrage proof is not evidence that a peg will hold when the volatile unit gaps down.

Why a venture studio still reads it

We keep the paper so a venture cannot pitch 'algorithmic stability' as if the primary document were obscure. Read it next to Maker. One design names collateral and a shutdown. This one names an arbitrage against its own token. That difference is the lesson.