Company: BANC-PF
Filing Date: 2025-03-03
Form Type: 10-K
Source: 0001628280-25-009438
Chunk: 395

Company: BANC OF CALIFORNIA, INC.
Filing Date: 2025-03-03
Form: 10-K
Item: Item 1B
Chunk 395
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 or lease based upon the fair value of the underlying collateral if the loan or lease is collateral-dependent or the present value of cash flows, discounted at the effective interest rate, if the loan or lease is not collateral-dependent. To the extent a loan or lease balance exceeds the estimated collectable value, a reserve or charge-off is recorded depending upon either the certainty of the estimate of loss or the fair value of the loan’s collateral if the loan is collateral-dependent. Our CECL methodology for the pooled loans component includes both quantitative and qualitative loss factors which are applied to our population of loans and leases and assessed at a pool level. The quantitative CECL model estimates credit losses by applying pool-specific probability of default ("PD") and loss given default ("LGD") rates to the expected exposure at default ("EAD") over the contractual life of loans and leases. The qualitative component considers internal and external risk factors that may not be appropriately assessed in the quantitative model.The loan portfolio is segmented into four loan segments, nine loan classes, and 20 loan pools (excluding Paycheck Protection Program loans, which are fully government guaranteed) based upon loan type that share similar default risk characteristics to calculate quantitative loss factors for each pool. Two of these loan pools have insignificant current balances, insignificant historical losses, thus, estimated losses are calculated using historical loss rates from the first quarter of 2009 to the current period rather than econometric regression modeling. For the purchased single-family residential mortgage loans, a third-party model for estimating prepayment, PD, and LGD based on forecasted economic conditions and historical residential mortgage loan performance from 2004 to June 2020 is applied. For the remaining 15 loan pools, we estimate the PD during the reasonable and supportable forecast period using seven econometric regression models developed to correlate macroeconomic variables to historical credit performance (based on quarterly transition matrices for the economic cycle from 2009 to the first quarter of 2024, which include risk rating upgrades/downgrades and defaults). The loans and unfunded commitments are grouped into ten LGD pools based on portfolio classes that share similar collateral risk characteristics. LGD rates are computed based on the net charge-offs recognized divided by the EAD of defaulted loans starting with the first quarter of 2009 to the current period. The PD and LGD rates are applied to the EAD at the loan or lease level based on contractual scheduled payments and estimated prepayments. We use our actual historical loan prepayment experience from 2009 to the first quarter of 2024, adjusted for forecast