All templates
Credit

Loan Portfolio CDR ModelFree Financial Model Download

Forecast loan defaults by vintage and cohort, model recovery and loss severity, and calculate portfolio risk metrics to assess reserve adequacy. Link default and recovery rates to macroeconomic variables and run recession stress scenarios to satisfy regulatory capital requirements.

Free download. No sign-up required.

Loading...

About this model

A Loan Portfolio CDR (Cumulative Default Rate) Model values a closed pool of loans acquired by a credit investor, projecting annual defaults, prepayments, principal collections, recoveries, and equity returns. The model applies vintage-based cumulative default rates (CDR curves—lower in Year 1, peaking Year 3-4, then stabilizing), conditional prepayment rates (CPR), and loss recovery rates (typically 50-75% for senior secured, 10-25% for unsecured) to compute net loss rates and residual cash flow. A typical $100M portfolio at 80% leverage (20% equity) with 10% weighted-average coupon (WAC), 2.5% average CDR, and 65% recovery rate generates 12-16% levered equity IRR with 1.5-2.0x MOIC over the runoff.

The Portfolio_Rollforward sheet drives the core mechanics: Opening Balance (rolling forward via closure formula) + New Originations grown at a fixed rate → Gross Additions. CDR and CPR curves (year-dependent, via CHOOSE function) are applied to Gross Additions to compute annual Defaults and Prepayments. Scheduled Amortization (using simplified WAM formula: Avg_Balance / WAM years) completes the runoff. Defaults exit the performing pool; Interest Income and Principal Collections apply to remaining performing balance only, preventing double-counting. The Default_Recovery sheet applies Recovery_Lag (typically 1-2 years) and Recovery_Rate to compute cash recovery timing. The Cash_Flow sheet nets: Interest_Income + Principal_Collections + Recoveries − Cost_of_Funds − Servicing − Opex = Net Portfolio CF. Fresh equity top-ups (MAX(0, (New_Originations − Principal_Collections) × Equity_%)) are called only when growth outpaces recycled principal.

This model suits credit investors, distressed funds, loan acquirers, and BDCs. Key metrics include net portfolio yield (WAC minus funding cost minus loss rate), MOIC (cumulative cash returned / cumulative cash invested), IRR, and cumulative loss rate (as % of initial balance). Typical leverage for institutional investors is 75-85% LTV; covenant tests include minimum equity IRR (8-12%) and maximum cumulative loss rate (10-15% of portfolio).

income_statement.xlsx
Income statement, brown brand palette
income_statement.xlsx
Income statement, green brand palette
income_statement.xlsx
Income statement, red brand palette

Recolor to your brand.
Formatted to IB standards.

Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with blue inputs, black formulas, and green cross-sheet links.

  • Brand-ready
  • Institutional grade
  • Fully auditable

What's included

  • Portfolio composition by loan type, vintage, and origination channel
  • Cumulative default rate curves by cohort and stress scenario
  • Loss given default assumptions by collateral type
  • Recovery rates and timing of recoveries post-default
  • Reserve calculations and capital impact analysis

Vintage segmentation

Track defaults by loan origination year to identify periods of elevated risk from loose underwriting and model outcome differences across cohorts.

Macroeconomic stress scenarios

Link default and recovery rates to economic variables such as unemployment and house prices to show portfolio loss impact under recession conditions.

Expected loss and reserve calculations

Compute probability of default, loss given default, and exposure at default for each cohort, then aggregate to allowance for loan losses.

Frequently asked

What is a cumulative default rate (CDR)?+

CDR is the percentage of loans in a cohort that have defaulted by a given loan age. For example, 3% of loans originated in Year 1 may have defaulted by age 5. CDR curves show how credit risk evolves as loans season.

How do I estimate loss given default?+

LGD is the percentage of the loan balance lost after recovery. It depends on collateral quality, seniority, and market conditions at the time of recovery. Historical loss data by product type is the most reliable input.

What economic scenarios should I model?+

At minimum, model a base case, a recession scenario with unemployment rising 2-4%, and a severe recession. Link CDR and recovery rates to each scenario and show loss sensitivity across the three cases.

Who uses loan portfolio CDR models?+

Credit analysts, bank risk teams, loan portfolio managers, and investors use these models for regulatory capital planning, portfolio stress testing, and loan pricing and approval decisions.

What is CECL and how does it affect reserve modeling?+

CECL (Current Expected Credit Loss) requires banks to reserve for lifetime expected losses at origination rather than incurred losses. CDR curves and LGD assumptions feed directly into the CECL allowance calculation.

Alex Tapio, founder of Finamodel and ex-Deloitte financial modelling expert

Alex Tapio

Founder of Finamodel • Professional Financial Modeller • Ex-Deloitte