Company: MCHB
Filing Date: 2025-07-15
Form Type: S-4/A
Source: 0001140361-25-025920
Chunk: 346

Company: Mechanics Bancorp
Filing Date: 2025-07-15
Form: S-4/A
Chunk 346
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 Financial Instruments – Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments, as amended, which replaces the incurred loss methodology with an expected loss methodology that is referred to as the current expected credit loss (CECL) methodology. Prior to January 1, 2023, the Bank’s allowance for loan and lease losses represented management’s best estimate of probable losses incurred within the existing loan and lease portfolio as of the balance sheet date. The following discussion represents the allowance for credit losses under the CECL methodology.

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Credit quality within the loans held for investment portfolio is continuously monitored by management and is reflected within the allowance for credit losses for loans. The allowance for credit losses, or reserve, is an estimate of expected losses over the lifetime of a loan within the Bank’s existing loans held for investment portfolio. The allowance for credit losses for loans held for investment is adjusted by a provision for (reversal of) credit losses, which is reported in earnings, and reduced by the charge-off of loan amounts, net of recoveries.

The credit loss estimation process involves procedures to appropriately consider the unique characteristics of the Bank’s loan portfolio segments, which are further disaggregated into loan classes, the level at which credit risk is monitored. The allowance for credit losses for loans not evaluated for specific reserves is calculated using statistical credit factors, including probabilities of default (PD) and loss given default (LGD), to the amortized cost of pools of loan exposures with similar risk characteristics over its contractual life, adjusted for prepayments, to arrive at an estimate of expected credit losses. Economic forecasts are applied over the period management believes it can estimate reasonable and supportable forecasts. Reasonable and supportable forecast periods and reversion assumptions to historical data are credit model specific. Prepayments are estimated by loan type using historical information and adjusted for current and future conditions.

When computing allowance levels, credit loss assumptions are estimated using models that analyze loans according to credit risk ratings, historic loss experience, past due status and other credit trends and risk characteristics, including current conditions and reasonable and supportable forecasts about the future. Determining the appropriateness of the allowance is complex and requires judgment by management about the effect of matters that are inherently uncertain. Future factors and forecasts may result in significant changes in the allowance and provision (reversal) for credit losses in those future periods. The allowance for credit losses will primarily reflect estimated losses for pools of loans that share similar risk characteristics but