LGD Calculator – Loss Given Default
Calculate net recoveries, discounted recoveries, loss amounts, recovery rates, and LGD based on exposure, collateral, costs, and timing. LGD Calculator – Loss Given Default helps lenders, investors, analysts, and risk professionals evaluate credit recovery outcomes.
Highlights
- Estimate net recoveries from collateral and other proceeds.
- Apply collateral haircuts to account for market and liquidation risk.
- Factor in legal, administrative, and recovery-related costs.
- Discount delayed recoveries using the recovery period and annual rate.
- Calculate loss amount, recovery rate, and Loss Given Default (LGD).
Table of Contents
How LGD Calculator – Loss Given Default Works?
The LGD Calculator estimates how much of a debt exposure is lost after accounting for collateral value, collateral risk, additional recovery proceeds, recovery costs, the timing of recoveries, and the annual discount rate.
First, the calculator applies the collateral haircut to estimate the portion of collateral that can realistically be recovered:
It then adds other recovery proceeds and subtracts recovery costs:
Because recoveries may arrive after default, the calculator discounts the total net recovery to its present value. If t is the recovery period expressed in years and r is the annual discount rate as a decimal, the calculation is:
The loss amount compares exposure at default with the discounted recovery. LGD and the recovery rate are complementary percentages based on the same exposure:
| Output | Calculation meaning |
|---|---|
| Net Collateral Recovery | Collateral value remaining after the haircut. |
| Total Net Recovery | Net collateral recovery plus other proceeds, less recovery costs. |
| Discounted Recovery | Present value of the total net recovery after considering timing and the annual discount rate. |
| Loss Amount | Exposure at default less discounted recovery. |
| LGD | Percentage of exposure not recovered. |
| Recovery Rate | Percentage of exposure recovered on a discounted basis. |
Practical Use Cases
Lenders can estimate the likely loss on a defaulted loan by combining collateral values, expected proceeds from guarantees or insurance, legal and liquidation costs, and the expected recovery period.
Credit investors can compare recovery assumptions for distressed debt, bonds, or loan portfolios and assess how delayed recoveries affect the present value of an investment.
Credit analysts can perform sensitivity analysis by changing the collateral haircut, recovery costs, discount rate, or exposure at default to evaluate optimistic and conservative recovery scenarios.
Risk professionals can use the LGD and recovery-rate outputs as inputs for credit risk reviews, portfolio monitoring, stress testing, and loss estimation after borrower default.
Workout and restructuring teams can compare proposed settlement proceeds with collateral liquidation outcomes and determine whether recovery costs and timing materially change the expected loss.
Accuracy and Limitations
The calculator is mathematically accurate for the assumptions entered, but its results are only as reliable as the estimated collateral value, haircut, other proceeds, recovery costs, recovery period, and discount rate. It uses a single aggregate recovery amount and a single discount rate, so it does not model multiple recovery cash flows, changing discount rates, taxes, legal priority, seniority, tranche structure, default probability, or uncertainty around collateral liquidation. If discounted recovery exceeds exposure at default, the calculated loss amount and LGD may become negative unless the calculator applies a separate cap.
Quick Examples
Example #1: Secured Corporate Loan
Estimate LGD for a corporate loan supported by collateral and additional recovery proceeds.
Example #2: Unsecured Consumer Debt
Evaluate losses for an unsecured exposure with modest proceeds from settlements and no collateral.
Example #3: Distressed Real Estate Loan
Assess recovery outcomes for a large property-backed loan with a long liquidation timeline and high costs.