Company: WBS-PG
Filing Date: 2025-11-10
Form Type: 10-Q
Source: 0000801337-25-000104
Chunk: 126

Company: WEBSTER FINANCIAL CORP
Filing Date: 2025-11-10
Form: 10-Q
Item: Part I, Item 2
Chunk 126
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 default. Summing the product across loans over their lives yields the lifetime expected credit losses for a given portfolio. The Company’s PD and LGD calculations are predictive models that measure the current risk profile of the loan pools using forecasts of future macroeconomic conditions, historical loss information, loan-level risk attributes, and credit quality indicators. The calculation of EAD follows an iterative process to determine the expected remaining principal balance of a loan based on historical paydown rates for loans of a similar segment within the same portfolio. The calculation of portfolio exposure in future quarters incorporates expected losses, the loan’s amortization schedule, and prepayment rates.

The Company’s models incorporate a baseline and a downside macroeconomic forecast scenario, and management weights the scenarios to arrive at the most likely macroeconomic scenario for each quarter end over a reasonable and supportable forecast period. The development of the reasonable and supportable forecast assumes that each portfolio will revert to its long-term loss rate expectation. The reasonable and supportable forecast period is two years, after which the reversion period is one year. Models use output reversion and revert to mean historical portfolio and risk rating specific loss rates on a straight-line basis in the third year of the forecast.

The Company incorporates forecasts of macroeconomic variables in the determination of expected credit losses. Macroeconomic variables are selected for each class of financing receivable based on relevant factors, such as asset type and the correlation of the variables to credit losses, among others. Data from the forecast scenario of these macroeconomic variables are used as inputs to the modeled loss calculation.

A portion of the collective ACL is comprised of qualitative adjustments for risk characteristics that are not reflected or captured in the quantitative models, but are likely to impact the measurement of estimated credit losses. Qualitative adjustments are based on management’s judgment of the Company, market, industry, or business specific data, and may be applied in relation to economic forecasts when relevant facts and circumstances are expected to impact credit losses, particularly in times of significant volatility in economic activity. Qualitative factors that are generally used in the Company’s models for all loan and lease portfolios include, but are not limited to, nature and volume of portfolio growth, credit quality trends, underwriting exception levels, quality of internal loan review, credit concentrations, and staffing trends. 

During the third quarter of 2025, the Company completed a refresh of its CECL models, incorporating additional loss history and enhancements to modeling methodologies used in the estimation process, which resulted in an increase in the quantitative portion of the collective ACL relative to the total ACL on