Collateral Factors
Understand DeFi collateral factors, maximum LTV, liquidation thresholds, risk caps and how protocols translate asset risk into borrowing capacity.
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Collateral factors and related risk parameters determine how much borrowing power a deposited asset receives and how close a borrower can move toward liquidation.
Learning objectives
- Distinguish maximum borrowing LTV from liquidation threshold.
- Explain why volatile or illiquid assets should receive less borrowing power.
- Use a health-factor style calculation to estimate liquidation buffer.
What it is
Protocols assign collateral parameters to reflect how reliably an asset can protect lender claims during liquidation. Common controls include maximum loan-to-value, liquidation threshold, liquidation bonus, debt ceilings and supply or borrow caps.
Terminology varies. A protocol may allow borrowing up to one LTV but only trigger liquidation at a higher threshold, creating an intermediate safety buffer. Another may embed the relationship in a “collateral factor” or “health factor.”
How it works
Suppose £10,000 of collateral has a 70% maximum LTV and an 80% liquidation threshold. The user may be able to borrow up to £7,000, but a position can become liquidatable when risk-adjusted debt reaches the 80% threshold.
Parameters should reflect market liquidity as well as volatility. A token with low historical volatility but only £2m of real trading depth can be dangerous collateral for £100m of loans.
Correlated collateral deserves special attention. If several assets depend on the same underlying token, bridge or staking system, treating them as independent can understate liquidation risk.
Governance can change collateral factors. A parameter reduction can force borrowers to repay or add collateral even if market prices have not moved, so users should monitor governance and risk-manager actions.
How to analyse it
The question is not “what is the highest LTV available?” but “what LTV is robust to the asset’s stressed volatility, liquidity and dependency profile?”
| Check | Why it matters | What to verify |
|---|---|---|
| Volatility | Fast price moves shrink liquidation windows. | Use stressed moves, not only historical averages. |
| Market depth | Liquidators must sell collateral into real markets. | Compare potential liquidation size with executable depth. |
| Dependency concentration | Wrapped and staked assets can fail together. | Map shared issuers, bridges, validators and oracles. |
| Governance flexibility | Risk parameters can change after new information. | Review timelocks and emergency parameter powers. |
Borrowers should keep an internal safety LTV below the protocol maximum. Protocol limits are insolvency controls, not personalised risk recommendations.
Risk managers should consider liquidation cascades: setting the factor on one asset too high can create forced selling that further depresses collateral prices.
Worked example and thought exercise
A user deposits £20,000 of collateral with an 80% liquidation threshold and borrows £10,000. Simplified health factor is 20,000 × 0.80 ÷ 10,000 = 1.6.
If collateral falls to £13,000, health factor becomes 13,000 × 0.80 ÷ 10,000 = 1.04, leaving very little buffer before liquidation.
Thought exercise: why might two tokens with identical daily volatility deserve different collateral factors if one has much thinner market depth?
Common mistakes and practical workflow
- Treating protocol maximum LTV as a prudent personal target.
- Ignoring market depth when evaluating collateral quality.
- Assuming correlated collateral sources are diversified.
- Forgetting that governance can reduce factors or caps.
Practical workflow
- Identify max LTV, liquidation threshold and bonus.
- Calculate health factor at current prices.
- Stress collateral by large gap moves and liquidity discounts.
- Map shared dependencies and concentration.
- Maintain an internal buffer below protocol limits.
✅ Knowledge checkpoint
- What is the difference between maximum LTV and liquidation threshold?
- Why does market depth influence appropriate collateral factors?
- How is a simple health factor calculated?
- How can governance changes affect a position without any market-price move?
FAQs
❓ Why do different assets have different factors?
Because volatility, liquidity, oracle quality, concentration and dependency risk differ.
❓ Does a factor guarantee safety?
No. It is a protocol risk parameter and cannot eliminate gap, oracle or liquidity risk.
❓ What is a debt ceiling?
A limit on how much debt exposure can be created against a particular collateral or market.
❓ Can factors change?
Yes. Governance or risk managers may change them as market conditions or asset risk evolve.
📋 Summary
Collateral factors translate asset risk into borrowing capacity. Higher efficiency comes with less insolvency buffer, so both users and protocols should anchor limits to stressed volatility, real liquidity and dependency risk.
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