Collateral Factor

What Is Collateral Factor?

A collateral factor (sometimes called loan-to-value ratio, or LTV) is the maximum percentage of a deposited asset's value that a lending protocol will allow a user to borrow. It acts as the protocol's judgment on how much risk a particular asset carries: the higher the collateral factor, the more the protocol trusts the asset to hold its value if liquidation becomes necessary.

For example, if ETH has a collateral factor of 80%, depositing $10,000 worth of ETH lets you borrow up to $8,000 in another asset. The remaining $2,000 acts as a safety cushion, protecting the protocol and its lenders if the collateral's price drops before a position can be liquidated.

Every major DeFi lending protocol uses some form of collateral factor, though terminology varies. Compound calls it the collateral factor, Aave uses LTV (loan-to-value), and MakerDAO (now Sky Protocol) expresses the same concept as a liquidation ratio (the inverse: a 150% liquidation ratio is equivalent to roughly a 67% collateral factor).

How It Works

When a user deposits an asset into a lending protocol, the protocol multiplies the asset's current market value by its collateral factor to calculate borrowing capacity:

Borrowing Capacity = Collateral Value × Collateral Factor

Example:
  Deposited: 5 ETH at $3,000 each = $15,000
  Collateral Factor: 80%
  Maximum Borrow: $15,000 × 0.80 = $12,000

If a user deposits multiple assets, the protocol calculates borrowing capacity for each one independently and sums them:

Total Borrowing Capacity = Σ (Asset Value × Asset Collateral Factor)

Example:
  5 ETH × $3,000 × 0.80  = $12,000
  10,000 USDC × $1 × 0.90 = $9,000
  Total Capacity           = $21,000

Collateral Factor vs. Liquidation Threshold

Modern protocols separate two parameters that older designs combined into one. The collateral factor (or LTV) sets the maximum initial borrowing power, while the liquidation threshold sets the point at which a position becomes eligible for liquidation. The liquidation threshold is always higher than the collateral factor, creating a safety buffer between maximum borrowing and forced selling.

On Aave V3, for example, ETH has an LTV of 80% and a liquidation threshold of 82.5%. A user who borrows the maximum $8,000 against $10,000 of ETH will not be immediately liquidated: the collateral would need to drop in value (or the debt would need to grow through interest) until the ratio crosses 82.5%. That 2.5 percentage point gap gives borrowers a margin to manage their positions.

Health Factor

Protocols track position safety through a metric called the health factor:

Health Factor = (Collateral Value × Liquidation Threshold) / Total Borrow Value

Example:
  Collateral: $10,000 ETH, Liquidation Threshold: 82.5%
  Borrowed: $6,000

  Health Factor = ($10,000 × 0.825) / $6,000 = 1.375

A health factor above 1.0 means the position is solvent. When it drops to 1.0 or below, the position can be liquidated. Values above 2.0 are considered conservative, while anything between 1.0 and 1.2 signals imminent risk.

How Protocols Set Collateral Factors

Collateral factors are not arbitrary: they result from quantitative risk analysis and DAO governance votes. Protocols evaluate several dimensions before assigning a factor to an asset:

• Price volatility: historical and implied volatility determine how quickly an asset's value could decline between price updates
• Market liquidity: on-chain and exchange order book depth affects whether liquidators can sell seized collateral without excessive slippage
• Market capitalization: larger-cap assets receive higher factors because they are harder to manipulate
• Oracle reliability: the quality, redundancy, and update frequency of price feeds affects how stale prices might become during volatile markets
• Smart contract risk: the maturity and audit history of the token's contract code
• Centralization risk: whether the token issuer can freeze or modify balances (relevant for centrally issued stablecoins)

Specialized risk management firms like Gauntlet and Chaos Labs run agent-based simulations (Monte Carlo methods) to model how different collateral factor settings perform under historical and hypothetical stress scenarios. Their objective: maximize capital efficiency (higher collateral factors attract more borrowers) while keeping expected protocol insolvency near zero.

Recommendations go through a governance process. On Aave, this follows the ARFC (Aave-Request-for-Comments) framework: risk managers publish analysis, the community discusses, a Snapshot vote gauges sentiment, and a final on-chain vote updates the smart contract parameters. On Compound, COMP token holders vote on proposals directly. Parameter updates typically happen every few weeks to months, depending on market conditions.

Collateral Factors Across Major Protocols

The following table shows approximate collateral factor equivalents across protocols for commonly supplied assets. These values change through governance and may not reflect current on-chain parameters:

Stablecoins consistently receive the highest collateral factors across protocols. Their low volatility means the protocol needs less of a safety buffer to absorb price drops before liquidation. Conversely, smaller-cap tokens with thin liquidity may receive collateral factors of 40–60% or may not be accepted as collateral at all.

Protocol-Specific Implementations

Each major lending protocol approaches the concept slightly differently:

• Compound V2 used a single collateral factor per asset for both borrowing limits and liquidation. Compound V3 introduced a two-factor system: a borrow collateral factor (initial borrowing power) and a higher liquidate collateral factor (liquidation trigger), with the gap serving as the safety buffer
• Aave has always maintained two separate parameters: LTV for initial borrowing and a liquidation threshold for forced selling. Aave V3 added Efficiency Mode (E-Mode) that boosts LTV for correlated asset pairs: stablecoin-to-stablecoin borrowing can reach ~97% LTV, and ETH-to-liquid-staking-token borrowing can reach ~93%
• MakerDAO/Sky uses a liquidation ratio (the inverse of collateral factor). A 150% liquidation ratio means vaults must maintain at least $1.50 of collateral per $1 of DAI generated, equivalent to a ~67% collateral factor. Different vault types for the same asset may carry different ratios: ETH-A vaults typically use 145–150%, while ETH-B vaults offer a lower 130% ratio for higher risk tolerance

Use Cases

Leveraged Positions

Traders use collateral factors to create leveraged exposure to an asset. By depositing ETH, borrowing stablecoins, buying more ETH, and redepositing, a user can multiply their ETH exposure. A protocol with an 80% collateral factor for ETH allows up to roughly 5x theoretical leverage through recursive borrowing, though each loop increases liquidation risk.

Yield Strategies

Depositors earn interest on supplied collateral while simultaneously borrowing against it. A user might deposit ETH (earning supply APY), borrow USDC at a lower rate, and deploy the USDC into a yield farming strategy. The spread between borrowing cost and yield earned is the profit, gated by how much the collateral factor allows them to borrow.

Capital Efficiency in Stablecoin Lending

High collateral factors on stablecoins (85–90%) enable near-capital-efficient borrowing. A user holding USDC who needs DAI can supply USDC and borrow DAI at a 90% LTV, maintaining exposure to a dollar-pegged asset with minimal overcollateralization. Aave's E-Mode pushes this further, allowing up to ~97% LTV for correlated stablecoin pairs.

Risk Management for Protocol Treasuries

DAOs and protocol treasuries use lending protocols to maintain operational liquidity without selling core holdings. By depositing governance tokens or treasury assets and borrowing stablecoins, they fund operations while keeping long-term exposure. The collateral factor determines how much working capital they can access.

Risks and Considerations

Liquidation Risk Near Maximum Utilization

Borrowing at or near the maximum collateral factor leaves virtually no buffer. In Aave V3, the gap between LTV and liquidation threshold for ETH is only 2.5 percentage points. A user who borrows the maximum faces liquidation from even minor price fluctuations, accrued interest, or oracle update delays. Prudent borrowers maintain a health factor of 2.0 or higher, which means borrowing well below the maximum.

Liquidation Cascades

When many users borrow near maximum collateral factors, a sharp market decline can trigger simultaneous liquidation cascades. Mass liquidations flood the market with collateral for sale, depressing prices further and triggering more liquidations. This feedback loop can cause protocol insolvency if collateral values fall faster than liquidators can absorb them.

Governance Risk

Because collateral factors are set through governance, they can change. A governance proposal that lowers a collateral factor can instantly reduce existing borrowers' capacity and potentially trigger liquidations. Compound V3's two-factor system partially mitigates this: governance can lower the borrow collateral factor (preventing new borrows at the old rate) without changing the liquidate collateral factor (protecting existing positions from immediate liquidation).

Oracle Dependency

Collateral factor calculations depend entirely on accurate price feeds from oracles. If an oracle reports a stale or manipulated price, borrowing capacity calculations become incorrect. A manipulated price feed could allow borrowing far more than the collateral is actually worth, creating protocol risk. This is why oracle reliability is a primary factor in setting collateral factors: assets with fewer or less reliable price sources receive lower factors.

Cross-Protocol Contagion

Users often chain positions across multiple protocols: deposit in one, borrow, deposit the borrowed asset in another, and borrow again. Each protocol independently sets collateral factors, but the aggregate leverage across the chain can far exceed what any single protocol intended. A price shock at one layer can cascade through interconnected positions, amplifying losses beyond what individual collateral factors were designed to absorb. For a deeper exploration of systemic risks in DeFi lending, see stablecoin-backed lending platforms and Bitcoin collateralized lending compared.

This glossary entry is for informational purposes only and does not constitute financial or investment advice. Always do your own research before using any protocol or technology.