HANMI FINANCIAL CORP

We have established various accounting policies that govern the application of GAAP in the preparation of our financial statements. Our significant accounting policies are described in the Notes to the consolidated financial statements in our 2024 Annual Report on Form 10-K. We had no significant changes in what constituted our accounting policies since the filing of our 2024 Annual Report on Form 10-K.

Certain accounting policies require us to make significant estimates and assumptions that have a material impact on the carrying value of certain assets and liabilities, and we consider these to be critical accounting policies. For a description of these critical accounting policies, see “Item 7. Management’s Discussion and Analysis of Financial Condition and Results of Operations - Critical Accounting Policies” in our 2024 Annual Report on Form 10-K. Actual results could differ significantly from these estimates and assumptions, which could have a material impact on the carrying value of assets and liabilities at the balance sheet dates and our results of operations for the reporting periods. Management has discussed the development and selection of these critical accounting policies with the Audit Committee of the Company’s Board of Directors.

We adopted the CECL methodology, as detailed in ASU 2016-13, on January 1, 2020. Effective January 1, 2025 we changed our ACL methodology. We have transitioned certain qualitative factors considered prior to January 1, 2025, to quantitative factors. The transition from qualitative factors to quantitative factors was based upon the availability of certain data relative to the ACL model previously used. Qualitative factors transitioned to quantitative factors effective January 1, 2025 included market and industry specific data, trends relating to credit quality, delinquency, and nonperforming and adversely rated loans.

In addition, the Company previously used a Probability of Default /Loss Given Default (PD/LGD) methodology to determine the allowance for credit losses. Following a periodic review of its credit loss estimation process, the Company concluded that a historical loss rate approach, adjusted for current conditions and reasonable and supportable forecasts, more appropriately reflects the expected credit losses for its loan portfolio. This change is considered a change in accounting estimate resulting from a change in methodology and assumptions, and is accounted for prospectively in accordance with ASC 250-10-45-17 through 45-18.

The change in methodology did not have a material impact to the Company’s operating results and financial condition. The provision for credit losses for the quarter ended March 31, 2025 reflects this change in estimate.

Allowance for credit losses and Allowance for credit losses related to off-balance sheet items

Our allowance for credit losses incorporates a variety of risk considerations, both quantitative and qualitative, that management believes is appropriate to estimate lifetime credit losses at each reporting date. Quantitative factors include the general economic forecast in our markets, risk ratings, delinquency trends, collateral values, changes in nonperforming loans, and other factors.

We use qualitative factors to adjust the allowance calculation for risks not considered by the quantitative calculations. Qualitative factors considered in our methodologies include, concentrations of credit, changes in lending management and staff, and quality of the loan review system.

The Company reviews baseline and alternative economic scenarios from Moody’s (previously known as Moody’s Analytics, a subsidiary of Moody’s Corporation) for consideration in the quantitative portion of our analysis of the allowance for credit losses. Moody’s publishes a baseline forecast that represents the estimate of the most likely path for the United States economy through the current business cycle (50% probability that economic conditions will be worse and 50% probability that economic conditions will be better) as well as alternative scenarios to examine how different types of shocks will affect the future performance of the United States economy.

The Company utilizes a midpoint approach of multiple forward-looking scenarios to incorporate losses from a baseline, upside (stronger near-term growth) and downside (slower near-term growth) economy. As a result, the upside and downside scenarios each receive a weight of 30%, and the baseline receives a weight of 40%.

Certain quantitative and qualitative factors used to estimate credit losses and establish an allowance for credit losses are subject to uncertainty. The adequacy of our allowance for credit losses is sensitive to changes in current and forecasted economic conditions that may affect the ability of borrowers to make contractual payments as well as the value of the collateral securing such payments.

Although management believes it uses the best information available to establish the allowance for credit losses, future adjustments to the allowance for credit losses may be necessary and the Company’s results of operations could be adversely affected if circumstances differ substantially from the assumptions used in making the determinations.

In addition, because future events affecting borrowers and collateral cannot be predicted without uncertainty, the existing allowance for credit losses may not be adequate or increases may be necessary should the quality of any loans deteriorate as a result of the factors discussed. Any material increase in the allowance for credit losses would adversely impact the Company's financial condition and results of operations.

Allowance Attribution Analysis

The following are the key macroeconomic variable inputs employed in the determination of the allowance for credit losses at March 31, 2025 and December 31, 2024:

Economic Factors

(1) The midpoint approach of the Moody's baseline, upside, and downside scenarios was used for the unemployment rate, GDP growth rate, and CRE price index forecasts for the period ended March 31, 2025.

(2) The Moody's Baseline scenario was used for the unemployment rate forecast for period ended December 31, 2024.

(3) The Moody's alternative scenarios 2 and 3 (equally weighted) were used for the GDP growth rate forecast for the period ended December 31, 2024.

Sensitivity Analysis

Adverse changes in management’s assessment of the assumptions and key inputs used to determine the allowance for credit losses could lead to increases in the allowance through additional provisions for credit losses. If actual losses and conditions differ materially from the assumptions used to determine the allowance for credit losses, our actual credit losses could differ materially from management’s estimates.

A sensitivity analysis of our allowance for credit losses was performed by estimating credit losses allocating more weight on the Moody’s S2 scenario, which has a more negative outlook on the economy, compared with the Moody’s baseline and S1 scenarios. The S2 scenario assumes elevated market interest rates, which weakens credit sensitive spending more than anticipated. In addition, the combination of tariffs, rising inflation, deportations, global political unrest and tensions, and reduced credit availability could cause the economy to fall into a mild recession in 2025. Incorporating key macroeconomic inputs from Moody’s S2 projected scenario in our calculation resulted in additional allowance for credit losses of approximately $2.4 million, compared with the results using the midpoint approach of Moody’s baseline, upside, and downside scenarios as of March 31, 2025.

Management's reviews consider the results of each sensitivity analysis when evaluating the qualitative factor adjustments. While management believes that it has established adequate allowances for lifetime credit losses on loans, actual results may prove different, and could be material. Management monitors the performance of the assumptions, key inputs and various scenarios on an ongoing basis to ensure their effective application in the estimate of the allowance for credit losses.