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Basis of Presentation (Policies)
 9 Months Ended
Sep. 30, 2022
Basis Of Presentation [Abstract]  
Consolidation The consolidated financial statements include the accounts of Hope Bancorp and its wholly owned subsidiaries, principally Bank of Hope. All intercompany transactions and balances have been eliminated in consolidation. The Company has made all adjustments, that in the opinion of management, are necessary to fairly present the Company’s financial position at September 30, 2022 and December 31, 2021 and the results of operations for the three and nine months ended September 30, 2022 and 2021. Certain reclassifications have been made to prior period amounts to conform to the current year presentation. The results of operations for the interim periods are not necessarily indicative of results to be anticipated for the full year.
Use of estimates The preparation of consolidated financial statements in conformity with U.S. generally accepted accounting principles (“GAAP”) requires management to make estimates and assumptions that affect the reported amounts of assets and liabilities and disclosure of contingent assets and liabilities at the date of the financial statements and the reported amounts of revenues and expenses during the reporting period. Actual results could differ significantly from those estimates.
Pending Accounting Pronouncements Pending Accounting PronouncementsIn March 2022, the FASB issued ASU 2022-02, Financial Instruments-Credit Losses (Topic 326). The standard addresses the following: 1) eliminates the accounting guidance for TDRs, will require an entity to determine whether a modification results in a new loan or a continuation of an existing loan, 2) expands disclosures related to modifications, and 3) will require disclosure of current period gross write-offs of financing receivables within the vintage disclosures table. The amendments in this update are effective for fiscal years beginning after December 15, 2022, including interim periods within those fiscal years and are applied prospectively, except with respect to the recognition and measurement of TDRs, where an entity has the option to apply a modified retrospective transition method. Early adoption of the amendments in this update is permitted. An entity may elect to early adopt the amendments regarding TDRs and related disclosure enhancements separately from the amendments related to vintage disclosures. The Company is assessing the impact that the adoption of ASU 2022-02 will have on its consolidated financial statements.
Financing Receivables
The Company calculates its ACL by estimating expected credit losses on a collective basis for loans that share similar risk characteristics. Loans that do not share similar risk characteristics with other loans are evaluated for credit losses on an individual basis. The Company differentiates its loan segments based on shared risk characteristics for which allowance for credit losses is measured on a collective basis.
Risk Characteristics
Real estateProperty type, location, owner occupied status
Commercial businessDelinquency status, risk rating, industry type
Residential mortgageFICO score, LTV, delinquency status, maturity date, collateral value, location
Consumer and otherHistorical losses
The Company uses a combination of a modeled and non-modeled approach that incorporates current and future economic conditions to estimate lifetime expected losses on a collective basis. The Company uses Probability of Default (“PD”), Loss Given Default (“LGD”), and Exposure at Default (“EAD”) methodologies with quantitative factors and qualitative considerations in calculation of the allowance for credit losses for collectively assessed loans. The Company uses a reasonable and supportable period of 2 years at which point loss assumptions revert back to historical loss information by means of 1 year reversion period. Included in the quantitative portion of the analysis of the allowance for credit losses are key inputs including borrowers’ net operating income, debt coverage ratios, real estate collateral values, as well as key inputs that are more subjective or require management’s judgement including key macroeconomic variables from Moody’s forecast scenarios including GDP, unemployment rates, interest rates, and commercial real estate prices. These key inputs are utilized in the Company’s models to develop PD and LGD assumptions used in the calculation of estimated quantitative losses.
The ACL for the Company’s construction, credit card, and certain consumer loans is calculated based on a non-modeled approach utilizing historical loss rates to estimate losses. A non-modeled approach was chosen for these loans as fewer data points exist which could result in high levels of estimated loss volatility under a modeled approach. In aggregate, non-modeled loans represented less than 2% of the Company’s total loan portfolio as of September 30, 2022.
The Company’s Economic Forecast Committee (“EFC”) reviews economic forecast scenarios that are incorporated in the Company’s ACL. The EFC reviews multiple scenarios provided to the Company by an independent third party and chooses a single scenario that best aligns with management’s expectation of future economic conditions. As of September 30, 2022, the Company utilized the Consensus economic forecast scenario from Moody’s as it best aligned with management’s expectations of future forecasts. The Company also utilized Moody’s Consensus economic forecast for the calculation of the December 31, 2021 ACL. The Consensus economic forecast projects that GDP growth will decline to less than 1.0% in 2023 then grow to over 2.0% by the end of 2024 with unemployment rising to the peak of 4.0% in 2023 and 2024. Commercial real estate prices in the Consensus scenario is expected to see a substantial reduction with the commercial real estate price index declining to -0.4% for 2023 before increasing to 4.5% for 2024.
Additionally, in order to systematically quantify the credit risk impact of other trends and changes within the loan portfolio, the Company utilizes qualitative adjustments to the modeled and non-modeled estimated loss approaches. The parameters for making adjustments are established under a Credit Risk Matrix that provides different possible scenarios for each of the factors below. The Credit Risk Matrix and the possible scenarios enable the Bank to qualitatively adjust the Loss Migration Ratio by as much as 25 basis points for each loan type pool. This matrix considers the following seven factors, which are patterned after the guidelines provided under the Federal Financial Institutions Examination Council (“FFIEC”) Interagency Policy Statement on the Allowance for Loan and Lease Losses, updated to reflect the adoption of CECL:
•Changes in lending policies and procedures, including underwriting standards and collection, charge off, and recovery practices;
•Changes in the nature and volume of the loan portfolio;
•Changes in the experience, ability, and depth of lending management and staff;
•Changes in the trends of the volume and severity of past due loans, classified loans, nonaccrual loans, troubled debt restructurings, and other loan modifications;
•Changes in the quality of the loan review system and the degree of oversight by the Directors;
•The existence and effect of any concentrations of credit and changes in the level of such concentrations; and
•The effect of external factors, such as competition, legal requirements, and regulatory requirements on the level of estimated losses in the loan portfolio.
For loans which do not share similar risk characteristics such as nonaccrual and TDR loans above $1.0 million, the Company evaluates these loans on an individual basis in accordance with ASC 326. These nonaccrual and TDR loans are considered to have different risk profiles than performing loans and therefore are evaluated separately. The Company decided to collectively assess TDRs and nonaccrual loans with balances below $1.0 million along with the performing and accrual loans in order to reduce the operational burden of individually assessing small TDR and nonaccrual loans with immaterial balances. For individually assessed loans, the ACL is measured using either 1) the present value of future cash flows discounted at the loan’s effective interest rate; 2) the loan’s observable market price; or 3) the fair value of the collateral, if the loan is collateral dependent. For the collateral dependent loans, the Company obtains a new appraisal to determine the fair value of collateral. The appraisals are based on an “as-is” valuation. To ensure that appraised values remain current, the Company either obtains updated appraisals every twelve months from a qualified independent appraiser or an internal evaluation of the collateral is performed by qualified personnel. If the third party market data indicates that the value of the collateral property has declined since the most recent valuation date, management adjusts the value of the property downward to reflect current market conditions. If the fair value of the collateral is less than the amortized balance of the loan, the Company recognizes an ACL with a corresponding charge to the provision for credit losses.
The Company maintains a separate ACL for its off-balance sheet unfunded loan commitments. The Company uses an estimated funding rate to allocate an allowance to undrawn exposures. This funding rate is used as a credit conversion factor to capture how much undrawn lines of credit can potentially become drawn at any point. The funding rate is determined based on a lookback period of 8 quarters. Credit loss is not estimated for off-balance sheet credit exposures that are unconditionally cancellable by the Company.