FRM Exam Part II · Credit Risk Management
Credit Risk Mitigation: Collateral, Guarantees and Covenants
Updated 11 October 2026 · Fact-checked
Credit risk mitigation (CRM) reduces expected loss or capital need when a borrower or counterparty defaults. Collateral cuts loss given default, guarantees add a second payer, covenants limit risky behaviour, and netting shrinks exposure. To solve questions, find what each tool changes (PD, LGD or EAD) and what new risks it adds.
Understand Credit Risk Mitigation: Collateral, Guarantees and Covenants
Credit risk mitigation means any step that lowers the loss you suffer if a borrower defaults. It does not remove credit risk. It changes its size, its form or who bears it.
A useful way to organise the tools is by what they change. Collateral gives you an asset to sell after default, so it mainly lowers loss given default (LGD). A guarantee gives you a second party who must pay if the borrower does not. Its value depends on the guarantor's own credit quality and on how likely the guarantor and borrower are to default together. Covenants are contract terms that limit what the borrower can do or require it to meet tests. They act early, so they can lower the probability of default (PD) or give you a trigger to renegotiate before losses build. Netting lets you offset what you owe a counterparty against what it owes you, so it lowers exposure at default (EAD).
Each tool has a cost. Collateral can fall in value, be hard to sell, or be linked to the borrower's fate (wrong-way risk). Guarantees carry guarantor risk and legal enforceability risk. Covenants only help if you monitor them and act on breaches. Netting only works if close-out netting is legally enforceable in the relevant jurisdictions.
Credit enhancement is the wider term, mostly used in securitisation and structured finance. It covers subordination, overcollateralisation, reserve accounts, excess spread and third-party guarantees or insurance. All of them give senior investors a cushion before losses reach them.
Under Basel rules, a bank can get capital relief from mitigation only if it is legally certain, enforceable and well managed, and only for eligible collateral and eligible guarantors. Collateral value is cut by haircuts for market price volatility and for currency mismatch. Mitigation can also create residual risk, so the exam often asks what is left after the hedge.
Key formulas to remember
- Expected loss
- EL = PD × LGD × EAD
- Collateral works on LGD, covenants mainly on PD, netting on EAD.
- LGD and recovery rate
- LGD = 1 − recovery rate
- Recovery is net of costs of selling collateral and of time delay.
- Haircut-adjusted collateral value
- Adjusted collateral = C × (1 − Hc − Hfx)
- Hc is the haircut for collateral price volatility; Hfx applies only if collateral currency differs from the exposure currency.
- Net exposure after collateral
- Net exposure = max(0, E − adjusted collateral)
- E is the exposure. Exposure cannot be negative for the lender.
- Netting exposure
- Net exposure = max(0, Σ trade values)
- With enforceable close-out netting. Without it, exposure = Σ max(0, each trade value).
- Guarantee substitution (simple approach)
- Guaranteed part takes the guarantor's risk weight; the rest keeps the borrower's
- Needs an eligible guarantor and a legally enforceable, direct, unconditional guarantee.
- Joint default of borrower and guarantor
- P(both default) ≤ min(PD borrower, PD guarantor)
- Equals the product only if defaults are independent. Positive correlation raises it.
How to solve Credit Risk Mitigation: Collateral, Guarantees and Covenants questions
Use this order for any question on collateral, guarantees, covenants, netting or credit enhancement.
- 1Identify the exposure and the risk driver the tool targets: PD, LGD or EAD.
- 2Name the tool precisely: funded (collateral, cash) or unfunded (guarantee, credit derivative), pre-default (covenant) or post-default (recovery).
- 3Check legal and operational conditions: enforceability, perfection of the security, documentation, and close-out netting validity.
- 4Compute the numbers: apply haircuts to collateral first, then subtract from exposure; for guarantees, split covered and uncovered parts.
- 5Look for correlation: wrong-way risk between collateral or guarantor and the borrower, and guarantor concentration.
- 6State the residual risk left after mitigation, such as guarantor default, collateral value drop or margin period of risk.
- 7Match your result to the option that fits both the arithmetic and the risk interpretation.
Quickest way: Three-question shortcut
When to use it: Use when a multiple-choice question describes a mitigation tool and asks what it does or what remains.
- Ask what it changes: LGD (collateral), PD (covenants), EAD (netting) or who pays (guarantee).
- Ask what new risk it brings: haircut, correlation, guarantor default, legal risk.
- For numbers, apply haircuts first, subtract from exposure, then floor at zero. Eliminate options that skip a step.
Common mistakes in Credit Risk Mitigation: Collateral, Guarantees and Covenants
Saying collateral reduces the probability of default.
Secured loans feel safer, so students treat security as lowering default risk.
Fix: Collateral lowers loss after default (LGD). It does not change whether the borrower defaults.
Ignoring haircuts when valuing collateral.
Students use the market value given in the question.
Fix: Reduce collateral by the volatility haircut, and by a currency mismatch haircut if currencies differ, before netting against exposure.
Treating a guarantee as risk-free.
The guarantor is often a strong name, so the risk seems gone.
Fix: Credit risk is replaced by guarantor risk. Check guarantor quality, correlation with the borrower, and legal enforceability.
Assuming netting always reduces exposure.
Students apply the formula without checking legal conditions.
Fix: Close-out netting must be enforceable in the relevant jurisdictions. Without it, exposure is the sum of positive trade values only.
Confusing covenants with collateral.
Both are loan terms that protect the lender.
Fix: Covenants are promises and tests that give early warning and control. Collateral is an asset claim used after default.
Missing wrong-way risk in collateral.
Students focus on collateral size, not what it is.
Fix: If collateral is the borrower's own shares or tied to its sector, its value falls just when default happens. Treat its value as unreliable.
Worked examples
Example 1
A bank has a USD 10 million loan to a company. It holds bonds worth USD 8 million as collateral. The bond price haircut is 15% and the bonds are in USD, the loan currency. What is the net exposure after collateral?
Show the solution
- Haircut adjusted collateral = 8 × (1 − 0.15) = 6.8 million.
- No currency mismatch, so no extra haircut.
- Net exposure = max(0, 10 − 6.8) = 3.2 million.
Answer: USD 3.2 million.
Example 2
A bank has two derivative trades with one counterparty under an enforceable close-out netting agreement: trade A is worth +USD 12 million to the bank and trade B is worth −USD 7 million. What is exposure with netting, and how much does netting reduce exposure compared with no netting?
Show the solution
- Exposure without netting = max(0, 12) + max(0, −7) = 12 + 0 = 12 million.
- Exposure with netting = max(0, 12 − 7) = 5 million.
- Reduction = 12 − 5 = 7 million.
Answer: Net exposure is USD 5 million, a reduction of USD 7 million.
Exam tips
- Always say which of PD, LGD or EAD a tool affects. Many options differ only on this point.
- Apply haircuts before subtracting collateral, and floor net exposure at zero.
- Watch for wrong-way risk and guarantor correlation. They are the usual reason a mitigant is weaker than it looks.
- For credit enhancement questions, think of loss absorption order: excess spread, reserve accounts, subordination, then senior tranches.
- Netting and collateral for derivatives are tested together, so link this topic to margining and counterparty exposure.
Practice questions from Credit Risk Management
- A bank has a single uncollateralized interest rate swap with a corporate client. The swap currently has a negative mark-to-market value to t…
- A bank has a single uncollateralized interest rate swap with a corporate client. The swap's current mark-to-market value to the bank is nega…
- A bank has a loan portfolio with expected loss of USD 12 million and a credit VaR at 99.9% of USD 95 million total loss. It holds USD 20 mil…
- A bank lends USD 10 million to a mid-sized manufacturer under a term loan. The credit officer wants a covenant that gives the bank an early …
- A bank's corporate loan book is heavily exposed to a single industry, with several large borrowers whose defaults are driven by the same sec…
Credit Risk Mitigation: Collateral, Guarantees and Covenants in other exams
The same ground in other exams, if you are preparing for more than one or want another angle on it.
Credit Risk Mitigation: Collateral, Guarantees and Covenants: frequently asked questions
What is the difference between collateral and a guarantee?
Collateral is an asset you can seize and sell if the borrower defaults, so it lowers LGD. A guarantee is a promise by a third party to pay. Its value depends on the guarantor's credit quality and on how closely guarantor and borrower defaults are linked.
How do covenants reduce credit risk?
Covenants set limits or tests, such as maximum leverage or minimum interest cover. A breach gives the lender early warning and a right to renegotiate, tighten terms or demand repayment. They help only if monitored and enforced.
What counts as credit enhancement?
Credit enhancement is any feature that improves the credit quality of a debt issue beyond the borrower's own standing. Examples are subordination, overcollateralisation, reserve accounts, excess spread and third-party guarantees or insurance.
Does credit risk mitigation remove credit risk?
No. It reduces or transfers it, and may add new risks such as collateral price falls, guarantor default, legal uncertainty and wrong-way risk. The part left over is called residual risk.