v3.25.2
Allowance for Credit Losses and Credit Quality of Loans (Policies)
6 Months Ended
Jun. 30, 2025
Allowance for Credit Losses and Credit Quality of Loans [Abstract]  
Allowance for Credit Losses
The allowance for credit losses calculation incorporated a 6-quarter forecast period to account for forecast economic conditions under each scenario utilized in the measurement. For periods beyond the 6-quarter forecast, the model reverts to long-term economic conditions over a 4-quarter reversion period on a straight-line basis. The Company considers a baseline, upside and downside economic forecast in measuring the allowance. During the second quarter of 2025, the Company included an additional downside scenario with stagflation conditions, which is characterized as an economic environment where inflation rises alongside unemployment. Stagflation was identified as an emerging risk as tariff policies begin to impact the economy.

The quantitative model as of June 30, 2025 incorporated a baseline economic outlook along with an alternative upside scenario and two equally weighted downside scenarios, recessionary conditions and stagflation, sourced from a reputable third-party to accommodate other potential economic conditions in the model. At June 30, 2025, the weightings were 70%, 5% and 25% for the baseline, upside and downside economic forecast scenarios, respectively. The baseline outlook reflected an economic environment where the Northeast unemployment rate increases from 4.3% to 4.8% during the forecast period. National Gross Domestic Product (“GDP’s”) annualized growth (on a quarterly basis) is expected to start the third quarter of 2025 at approximately 0.6% and increase to 1.6% by the end of the forecast period. Key assumptions in the baseline economic outlook included the Federal Reserve cutting rates with two 25 basis point cuts at the September and December meetings and the economy remaining at full employment. The alternative upside scenario assumes improved economic conditions from the baseline outlook. Under this scenario, Northeast unemployment falls from 4.3% in the second quarter of 2025 to 3.7% in the fourth quarter of 2025 and eventually settles at 4.1% by the end of the forecast period. The alternative downside scenario with recessionary conditions assumes deteriorated economic conditions from the baseline outlook. Under this scenario, Northeast unemployment rises from 4.3% in the second quarter of 2025 to a peak of 7.7% in the third quarter of 2026. The alternative downside stagflation scenario assumes deteriorated economic conditions from the baseline outlook. Under this scenario, Northeast unemployment rises from 4.3% in the second quarter of 2025 to 5.8% by the end of the forecast period in the fourth quarter of 2026, with a peak Northeast unemployment rate of 8.1% in the third quarter of 2027. These scenarios and their respective weightings are evaluated at each measurement date and reflect management’s expectations as of June 30, 2025. Additional qualitative adjustments were made for factors not incorporated in the forecasts or the model, such as loss rate expectations for certain loan pools, reversion adjustments for the stagflation scenario and recent trends in asset value indices. Additional monitoring for industry concentrations, loan growth and policy exceptions was also conducted.

The quantitative model as of March 31, 2025 incorporated a baseline economic outlook along with an alternative downside scenario sourced from a reputable third-party to accommodate other potential economic conditions in the model. At March 31, 2025, the weightings were 75% and 25% for the baseline and downside economic forecasts, respectively. The baseline outlook reflected an economic environment where the unemployment rate increases from 4.1% to 4.4% during the forecast period. Northeast GDP’s annualized growth (on a quarterly basis) is expected to start the second quarter of 2025 at approximately 5% and decrease to 3.9% before increasing to 4.1% by the end of the forecast period. Key assumptions in the baseline economic outlook included the Federal Reserve cutting rates with two 25 basis point cuts at the September and December meetings and the economy remaining at full employment. The alternative downside scenario assumed deteriorated economic conditions from the baseline outlook. Under this scenario, national unemployment rises from 4.1% in the first quarter of 2025 to a peak of 7.6% in the second quarter of 2026. These scenarios and their respective weightings are evaluated at each measurement date and reflect management’s expectations as of March 31, 2025. Additional qualitative adjustments were made for factors not incorporated in the forecasts or the model, such as loss rate expectations for certain loan pools and recent trends in asset value indices. Additional monitoring for industry concentrations, loan growth and policy exceptions was also conducted.

During the first quarter of 2025, the Company performed an annual update to its econometric, PD/LGD models. Segment specific, multi-variate regression model inputs and assumptions were updated and recent period observed losses and behavior were incorporated into the models (“model refreshment”). The incorporation of recent observations did not have a material impact on most loan class segments except for the Auto class segment which resulted in an improvement in PD/LGD outcomes. The total allowance decreased by approximately 3% as of March 31, 2025 due to the model refreshment.

The quantitative model as of December 31, 2024 incorporated a baseline economic outlook along with an alternative downside scenario sourced from a reputable third-party to accommodate other potential economic conditions in the model. At December 31, 2024, the weightings were 80% and 20% for the baseline and downside economic forecasts, respectively. The baseline outlook reflected a Northeast unemployment rate environment starting at 4.1% and increasing slightly during the forecast period to 4.2%. Northeast GDP’s annualized growth (on a quarterly basis) is expected to start the first quarter of 2025 at approximately 3.8% before decreasing to a low of 2.6% in the third quarter of 2025 and then increasing to 3.9% by the end of the forecast period. Key assumptions in the baseline economic outlook included two 25 basis point federal funds rate cuts in 2025, quantitative tightening ending in early 2025, a post-election fiscal outlook with lower spending, lower taxes, and higher tariffs, and the economy currently being near full employment. The alternative downside scenario assumed deteriorated economic conditions from the baseline outlook. Under this scenario, Northeast unemployment increases to a peak of 7.5% in the first quarter of 2026. These scenarios and their respective weightings are evaluated at each measurement date and reflect management’s expectations as of December 31, 2024. Additional qualitative adjustments were made for factors not incorporated in the forecasts or the model, such as loss rate expectations for certain loan pools, considerations for inflation and recent trends in asset value indices. Additional monitoring for industry concentrations, loan growth and policy exceptions was also conducted.

The Company made a policy election to report AIR in the other assets line item on the consolidated balance sheets. AIR on loans totaled $41.2 million at June 30, 2025 and $34.8 million at December 31, 2024 and with no estimated allowance for credit losses related to AIR as of June 30, 2025 and December 31, 2024 as it is excluded from amortized cost.
Loan Modifications to Borrowers Experiencing Financial Difficulties
Loan Modifications to Borrowers Experiencing Financial Difficulties



When the Company modifies a loan with financial difficulty, such modifications generally include one or a combination of the following: an extension of the maturity date at a stated rate of interest lower than the current market rate for new debt with similar risk; a change in scheduled payment amount; or principal forgiveness.