Bridgewater Bancshares, Inc._2023 Annual Report
The measurement of the allowance is based on relevant information from internal and external sources, related to past events, current conditions and reasonable and supportable forecasts. The Company uses the weighted-average remaining maturity (WARM) method as a basis for estimated expected credit loss. The WARM method uses a historical average annual charge off rate. This average annual charge off rate contains loss content over a historical lookback period and is used as a foundation for estimating the allowance on loans for the remaining outstanding balances of loans by segment at the balance sheet date. The average annual charge off rate is applied to the contractual term to determine the unadjusted historical charge off rate. The calculation of the unadjusted historical charge off rate is then adjusted for current conditions and for reasonable and supportable forecast periods through qualitative factors prior to being applied to the current balance of the loan segments. Forecast adjustments to the historical loss rate are based on a forecast of the U.S. national unemployment rate, a forecast of the difference between the 10-year and 3-month treasury rates, and the most recent available BBB rated corporate bond spreads to U.S. Treasury securities, or BBB Spread. The forecast overlay adjustment for the reasonable and supportable forecast assumes an immediate reversion after a one-year forecast period to historical loss rates for the remaining life of the respective loan segment. Qualitative factors are used to cover losses that are expected but, in the Company’s assessment, may not be adequately represented in the quantitative (historical loss factors) analysis or the forecasts described above. These qualitative factors serve to compensate for additional areas of uncertainty inherent in the portfolio that are not reflected in the historic loss factors. Each qualitative loss factor, for each loan segment within the portfolio, incorporates consideration for a minimal to maximum range for loss factors. These qualitative factor adjustments may increase or decrease the Company’s estimate of expected credit losses and are applied to each loan segment. The qualitative factors applied to each loan segment include changes in lending policies and procedures, general economic and business conditions, the nature, volume and terms of the loans, the experience, depth and ability of lending staff, quality of the loan review function, the value of underlying collateral, competition, legal and regulatory factors, the volume and severity of watchlist and past due loans and the level of concentrations. We identified the qualitative factors and forecasted adjustments applied to the allowance as a critical audit matter as auditing management’s determination of the qualitative factors required significant auditor judgement as the estimate is highly sensitive to changes in significant assumptions. Our audit procedures related to the Company’s qualitative factors and forecasted adjustments applied to the allowance included the following, among others: • We obtained an understanding of the relevant controls related to the qualitative factors and forecasted adjustments applied to the allowance and tested such controls for design and operating effectiveness, including controls relating to management’s review and approval of the qualitative factors, forecasted adjustments and the underlying data used in determining those factors. • We tested management’s process and evaluated the reasonableness of their judgments and assumptions to develop the qualitative factors and forecasted adjustments, which included: − Testing the accuracy and relevancy of the data inputs used by management as a basis for the adjustments for qualitative factors and forecasted adjustments by comparing to internal and external source data.
− Evaluating the reasonableness of the magnitude and directional consistency of the adjustments for such.
− Evaluating whether management’s conclusions were consistent with Company provided internal data and external, independently sourced data and agreeing the impact to the allowance calculation.
/s/ RSM US LLP We have served as the Company’s auditor since 2022. Des Moines, Iowa March 6, 2024
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