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Protocol Economics

How Collateral Ratios Turn Deposits Into Borrowing Power

Collateral ratios turn asset values into credit limits, while liquidation thresholds decide how much price volatility a borrower can survive.

Crypto Market Dispatch Newsroom 3 min read
How Collateral Ratios Turn Deposits Into Borrowing Power

A collateral ratio sets borrowing capacity by converting a protocol’s appraised collateral value into a maximum debt balance. When Aave V3 launched on Ethereum on January 27, 2023, it refined that mechanism with efficiency mode for correlated assets and isolation mode for riskier collateral. The result was not simply more leverage: borrowing limits became more sensitive to asset relationships, oracle prices and governance-set risk parameters.

How is crypto borrowing capacity calculated?

Borrowing capacity equals the oracle value of eligible collateral multiplied by its maximum loan-to-value ratio, minus existing debt. At a 75% maximum LTV, $10,000 of collateral supports at most $7,500 of borrowing. A dashboard may instead show the reciprocal as a minimum collateralization ratio: 75% LTV corresponds to roughly 133% collateralization.

Aave’s published parameter framework distinguishes maximum LTV from the liquidation threshold. The first controls new borrowing; the second determines when deposited collateral can be sold to repay debt. That gap is the borrower’s initial safety buffer, not unused credit waiting to be spent.

  • Oracle value: The protocol uses its configured price feed, not the borrower’s preferred exchange price.
  • Maximum LTV: This caps the debt that collateral can support when a loan is opened or expanded.
  • Liquidation threshold: Crossing it makes the position eligible for liquidation.
  • Accrued interest: Growing debt gradually consumes borrowing headroom even if collateral prices do not move.

Who supplies liquidity and who takes the risk?

Depositors supply the tokens that borrowers withdraw, while borrowers bear interest-rate, oracle and liquidation risk. Borrower interest goes mainly to liquidity suppliers; a governance-set reserve factor can direct a portion to the protocol treasury. If a position becomes unhealthy, liquidators repay eligible debt and receive collateral plus a liquidation bonus.

Suppliers still carry risk. Bad debt can arise if collateral falls faster than liquidators can sell it, liquidity disappears, or an oracle fails during stress. Exact LTVs, reserve shares and liquidation bonuses vary by asset and can change through governance, so the onchain market configuration is the primary evidence—not a remembered percentage from a tutorial.

How did Aave V3 change collateral limits?

Aave V3 replaced part of the predecessor’s broad, asset-by-asset framework with specialized borrowing lanes. Efficiency mode can grant higher borrowing power when collateral and debt belong to a tightly correlated category, such as assets intended to track the same unit. Isolation mode moves in the opposite direction: selected collateral can back only approved debt assets and remains subject to a debt ceiling.

That design gives builders finer controls for leveraged strategies, but it also makes integrations more state-dependent. Applications must check category rules, caps and oracle configuration rather than reading one universal ratio. For bridged collateral, operational verification also matters; this guide to tracking a Manta bridge transfer on-chain illustrates the transaction-level checks users may need before treating funds as available.

What is a safe collateral ratio?

A safe ratio is materially more conservative than the protocol maximum because liquidation thresholds describe permission to liquidate, not protection from loss. Our view is that higher capital efficiency is useful chiefly for genuinely correlated, liquid assets; elsewhere, it can disguise a thin safety margin as idle capacity.

The remaining unknowns are practical rather than mathematical: how quickly governance will alter parameters, whether oracle prices will hold during dislocation, and how much liquidation capital will appear when many positions fail together. A maximum borrowing figure is therefore a hard protocol limit, not a prudent target.

Topics in this dispatch

  • Protocol Economics
  • Liquidity and Flows

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