Company: NWBI
Filing Date: 2025-02-25
Form Type: 10-K
Source: 0001471265-25-000016
Chunk: 313

Company: Northwest Bancshares, Inc.
Filing Date: 2025-02-25
Form: 10-K
Item: Item 8
Chunk 313
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 rates thereafter. The reasonable and supportable forecast is based on a probability-weighted multiple macroeconomic forecast approach and obtained from a third party vendor. Reversion to the mean takes place over a twelve-month period. Our loss rate models utilize a linear reversion method. For our probability of default (“PD”)/loss given default (“LGD”) models we revert the PD utilizing exponential reversion, which is an accelerated method, and the LGD utilizing a linear reversion method. Historical average loss rates are calculated using historical data beginning in 2009 through the current period.  As part of the analysis as of December 31, 2024, we considered the most recent  macroeconomic forecasts available.    Mortgage and Home Equity LoansThe allowance for credit losses within the mortgage and home equity loan pools is calculated using a non-discounted cash flow method through a PD, LGD, and prepayment model developed by an external third-party and adjusted for asset specific characteristics. These classes are further divided into smaller pools of loans with similar risk characteristics such as: lines versus loans, fixed versus variable, senior lien position versus junior lien position, among other things.

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Table of ContentsNORTHWEST BANCSHARES, INC. AND SUBSIDIARIES NOTES TO CONSOLIDATED FINANCIAL STATEMENTSDecember 31, 2024, 2023 and 2022

For each pool, the models project default rates, prepayment rates, and severity rates. The models accept as inputs key risk drivers such as: current balance, original credit bureau score, original loan-to-value ratio, type of collateral, location of collateral, delinquency status, loan age, among other characteristics. They also utilize macroeconomic forecasts of home price indices, unemployment rates, gross domestic product, and others.Vehicle Loans    The allowance for credit losses within the vehicle loan pool is calculated using a non-discounted cash flow model through a PD, LGD, and prepayment model developed by an external third-party and adjusted for asset specific risk characteristics. These classes are further divided into smaller pools of loans with similar risk characteristics such as: cars, trucks and powersport vehicles and recreational vehicles. Monthly probabilities of default and prepayments are estimated for each loan, along with estimates of exposure at default and loss given default. The model accepts as inputs key risk drivers such as loan, borrower, and collateral characteristics. It also uses macroeconomic forecasts of used car price indices, gross domestic product, unemployment rates and others.Consumer Loans