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SBA 504 Prepay & Default Model

Version 2.0
Government

SBA 504 loans have a fundamentally different structure than 7(a): 50% bank first lien + 40% CDC debenture (SBA-guaranteed) + 10% borrower equity. The model handles both the guaranteed debenture (where defaults = prepayments) and the unguaranteed first lien (where credit risk is real).

Methodology

Prepayment: Age-based CPR model (no S-curve) because SBA 504 FOIA data does not include interest rates. CPR ramps with loan age, peaks at a calibrated age, then declines for seasoned loans.

CPR(t) = (AgeCPR × SeasoningFactor + TurnoverCPR) × IndustryMult × StateMult × VintageMult × CDCMult × TPLMult

Default: Bathtub CDR with separate parameters for short-term (10-year equipment) and long-term (20-year+ real estate) buckets.

Severity: Calibrated from FOIA chargeoff data, separately for the short-term and long-term buckets.

Multiplier tables cover NAICS industry, state, origination vintage, CDC, and third-party lender.

Key Parameters

ParameterValue
Term BucketsShort (≤120mo, equipment), Long (>120mo, real estate)

Inputs

original_balanceOriginal loan amount
term_months120 (equipment) or 240+ (real estate)
loan_age_monthsMonths since origination
naics_code2-digit NAICS industry code
project_stateState of the project
cdc_nameCertified Development Company name
third_party_lender_nameFirst lien bank name

Outputs

annual_cprAge-based annual CPR
annual_cdrBathtub-curve annual CDR
expected_severityExpected loss given default
lifetime_expected_lossCumulative expected loss for CECL
term_bucketShort (equipment) or Long (real estate)

Calibration

Calibrated from funded SBA 504 loans in the FOIA dataset. Excludes cancelled and not-funded loans. Multipliers calculated as relative ratios (group rate / overall rate).

References

  • SBA 504 FOIA Loan Data.
  • NCUA Credit Union Call Reports (participation performance).

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