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SUMMARY OF SIGNIFICANT ACCOUNTING POLICIES - (Policies)

6 Months Ended

Jun. 30, 2020

The Company's accounting and financial reporting policies conform with accounting principles generally accepted in the United States of America ("GAAP"). Inter-company balances and transactions have been eliminated in consolidation. In preparing the consolidated financial statements, management is required to make estimates and assumptions that affect the reported amounts of assets and liabilities as of the date of the financial statements and revenues and expenses during the reporting periods and related disclosures.

Reclassifications

We have reclassified certain amounts in our consolidated financial statements for prior periods to conform with our current presentation.

Risks and Uncertainties

The worldwide spread of coronavirus (“COVID-19”) has created significant uncertainty in the global, national, regional and local economies. There have been no comparable recent events that provide guidance to the effects of the spread of COVID-19 as a global pandemic may have, and, as a result, the near-term, short-term and ultimate impacts of COVID-19 and the extent to which COVID-19 impacts the Company’s business, results of operations and financial condition will depend on future developments, which are highly uncertain and difficult to predict.

Share Repurchase Program

At the beginning of 2020, the Company had in place a share repurchase program under which the Company could purchase up to $8.1 million of its common stock. During the first quarter of 2020, the Board authorized the repurchase of an additional $25 million of the Company’s common stock. During the first six months of 2020, the Company repurchased 977,073 shares of its common stock at an average price of $26.20 per share. On July 23, 2020 the Board authorized an additional $25 million share repurchase program, subject to regulatory approval, or nonobjection.

Goodwill

Goodwill is not amortized but is reviewed for potential impairment at the reporting unit level. Management analyzes its goodwill for impairment on an annual basis on June 30 and as of June 30, 2020 the Company concluded that there was no impairment of goodwill.

Recent Accounting Developments

In December 2019, the Financial Accounting Standards Board ("FASB") issued ASU No 2019-12, “Income Taxes (Topic 740): Simplifying the Accounting for Income Taxes” (“ASU 2019-12”). ASU 2019-12 removes certain exceptions to the general principles in Topic 740 in Generally Accepted Accounting Principles. ASU 2019-12 is effective for public entities for fiscal years beginning after December 15, 2020, with early adoption permitted. The Company does not expect ASU 2019-12 to have a material effect on the Company’s current financial position, results of operations or financial statement disclosures.

On January 1, 2020, the Company adopted ASU 2016-13 Financial Instruments - Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments, which replaces the incurred loss methodology ("ALLL") with an expected loss methodology that is referred to as the current expected credit losses ("CECL") methodology. The measurement of the expected credit losses under the CECL methodology is applicable to financial assets measured at amortized cost, including loan receivables and held-to-maturity debt securities. It also applies to off-balance sheet credit exposures such as loan commitments. In addition, ASC 326 made changes to the accounting for credit losses for available-for-sale ("AFS") debt securities.

The Company adopted CECL using the modified retrospective method for all financial assets measured at amortized cost and off-balance sheet ("OBS") credit exposure. Results for reporting periods beginning after January 1, 2020 are presented under ASC 326 while prior period amounts continue to be reported in accordance with previously applicable GAAP. The Company recorded a decrease of $3.7 million to the beginning balance of retained earnings on January 1, 2020 for the cumulative effect of adopting this guidance.

The Company adopted ASU 2016-13 using the prospective transition approach for debt securities for which other-than-temporary impairment had been recognized prior to January 1, 2020. As a result, the amortized cost basis remains the same before and after the effective date of this guidance.

Allowance for Credit Losses

Allowance for Credit Losses for LHFI

The allowance for credit losses ("ACL") for LHFI is a valuation account that is deducted from the loans amortized cost basis to present the net amount expected to be collected on the loans. Loan balances are charged off against the allowance when management believes the non-collectability of a loan balance is confirmed. Expected recoveries may not exceed the aggregate of amounts previously charged-off and expected to be charged-off. The ACL for LHFI, as reported in our consolidated balance sheets, is adjusted by a provision for credit losses and reduced by the charge-offs of loan amounts, net of recoveries.

Management estimates the ACL balance using relevant available information from internal and external sources relating to past events, current conditions and reasonable and supportable forecasts. Historical credit loss experience provides the basis for the estimation of expected credit losses. Adjustments to historical loss information are made for differences in current loan-specific risk characteristics such as differences in underwriting standards, portfolio mix or delinquency levels or other relevant factors.

The credit loss estimation process involves procedures to appropriately consider the unique characteristics of its two loan portfolio segments, the consumer loan portfolio segment and the commercial loan portfolio segment. These two segments are further disaggregated into loan pools, the level at which credit risk is monitored. When computing allowance levels, credit loss assumptions are estimated using a model that categorizes loan pools based on loss history, delinquency status and other credit trends and risk characteristics, including current conditions and reasonable and supportable forecasts about the future. Determining the appropriateness of the ACL is complex and requires judgment by management about the effect of matters that are inherently uncertain. In future periods, evaluations of the overall loan portfolio, based on the factors and forecasts then prevailing, may result in material changes in the ACL and provision for credit losses in those future periods.

Credit Loss Measurement

The allowance level is influenced by current conditions related to loan volumes, loan asset quality ratings ("AQR") migration or delinquency status, historic loss experience and other conditions influencing loss expectations, such as reasonable and supportable forecasts of economic conditions. The methodology for estimating the amount of expected credit losses has two basic components: first, a pooled component for estimated expected credit losses for pools of loans that share similar risk characteristics and second an asset-specific component involving individual loans that do not share risk characteristics with other loans and the measurement of expected credit losses for such individual loans.

Loans that Share Similar Risk Characteristics with Other Loans

In estimating the component of the ACL, for loans that share similar risk characteristics with other loans, loans are segregated into loan pools based on similar risk characteristics, like product types or areas of risk concentration.

The Company's ACL model methodology is to build a reserve rate using historical life of loan default rates combined with assessments of current loan portfolio information and forecasted economic environment and business cycle information. The model uses statistical analysis to determine the life of loan default rates for the quantitative component and analyzes qualitative factors (Q-Factors) that assess the current loan portfolio conditions and forecasted economic environment. Below is the general overview our ACL model.

Historical Loss Rate

The Company chose to analyze loan data from a full economic cycle, to the extent that data was available, to calculate life of loan loss rates. Based on the current economic environment and available loan level data, it was determined the Loss Horizon Period (LHP) should begin prior to the economic recession that began in 2007. The Company plans to monitor and review the LHP on an annual basis to determine appropriate time frames to be included based on economic indicators.

Under CECL, the Company groups pools of loans by similar risk characteristics. Using these pools, sub-pools are established at a more granular level incorporating delinquency status and original FICO or original LTV (for consumer loans) and risk ratings (for commercial loans). Using the pool and sub-pool structure, cohorts are established historically on a quarterly basis containing the population in these sets as of that point in time. After the establishment of these cohorts, the loans within the cohorts are then tracked from that point forward to establish long-term Probability of Default ("PD") at the sub-pool level and Loss Given Default ("LGD") for the pool level. These historical cohorts and their PD/LGD outcomes are then averaged together to establish expected PDs and LGDs for each sub-pool.

Once historical cohorts are established, the loans in the cohort are tracked moving forward for default events. The Company has defined default events as the first dollar of loss. If a loan in the cohort has experienced a default event over the LHP then the balance of the loan at the time of cohort establishment becomes part of the numerator of the PD calculation. The Loss Given Probability of Default ("LGPD") or Expected Loss ("EL") is the weighted average PD for each sub-pool cohort times the average LGD for each pool. The output from the model then is a series of EL rates for each loan sub-pool, which are applied to the related outstanding balances for each loan sub-pool to determine the ACL reserve based on historical loss rates.

Q-Factors

The Q-Factors adjust the expected historic loss rates for current and forecasted conditions that are not provided for in the historical loss information. The Company has established a methodology for adjusting historical expected loss rates based on these more recent or forecasted changes. The Q-Factor methodology is based on a blend of quantitative analysis and management judgment and reviewed on a quarterly basis.

Each of the thirteen factors in the FASB standard were analyzed for common risk characteristics and grouped into seven consolidated Q-Factors as listed below.



Qualitative Factor	Financial Instruments - Credit Losses
Portfolio Credit Quality	The borrower's financial condition, credit rating, credit score, asset quality, or business prospects
	The borrower's ability to make scheduled interest or principal payments
	The volume and severity of past due financial assets and the volume and severity of adversely classified or rated financial assets
Remaining Payments	The remaining payment terms of the financial assets
Remaining Payments	The remaining time to maturity and the timing and extent of prepayments on the financial assets
Volume & Nature	The nature and volume of the entity's financial assets
Collateral Values	The value of underlying collateral on financial assets in which the collateral-dependent practical expedient has not been utilized
Economic	The environmental factors of a borrower and the areas in which the entity's credit is concentrated, such as: Changes and expected changes in national, regional and local economic and business conditions and developments in which the entity operates, including the condition and expected condition of various market segments
Credit Culture	The entity's lending policies and procedures, including changes in lending strategies, underwriting standards, collection, write-off and recovery practices, as well as knowledge of the borrower's operations or the borrower's standing in the community
	The quality of the entity's credit review system
	The experience, ability and depth of the entity's management, lending staff, and other relevant staff
Business Environment	The environmental factors of a borrower and the areas in which the entity's credit is concentrated, such as: Regulatory, legal, or technological environment to which the entity has exposure
Business Environment	The environmental factors of a borrower and the areas in which the entity's credit is concentrated, such as: Changes and expected changes in the general market condition of either the geographical area or the industry to which the entity has exposure

An eighth Q-Factor, Management Overlay, has been created to allow the Bank to adjust specific pools when conditions exist that were not contemplated in the model design that warrant an adjustment. The economic downturn caused by the COVID-19 pandemic and resulting accounting treatment of forbearances is an example of such a condition.

The Company has chosen two years as the forecast period based on management judgment and has determined that reasonable and supportable forecasts should be made for two of the Q-Factors: Economic and Collateral values.

Management has assigned weightings for each qualitative factor as well as individual metrics within each qualitative factor as to the relative importance of that factor or metric specific to each portfolio type. The Q-Factors above are evaluated using a seven-point scale ranging from significant improvement to significant deterioration.

The CECL Q-Factor methodology bounds the Q-Factor adjustments by a minimum and maximum range, based on the Bank’s own historical expected loss rates for each respective pool. The rating of the Q-Factor on the seven-point scale, along with the allocated weight, determines the final expected loss adjustment. The model is constructed so that the total of the Q-Factor adjustments plus the current expected loss rate cannot exceed the maximum or minimum two-year loss rate for that pool, which is aligned with the Bank's chosen forecast period. Loss rates beyond two years are not adjusted in the Q-Factor process and the model reverts to the historical mean loss rates. Management Overlays are not bounded by the historical maximums.

Quarterly, loan data is gathered to update the portfolio metrics analyzed in the Q-Factor model. The model is updated with current data and applicable forecasts, then the results are reviewed by management. After consensus is reached on all Q-Factor ratings, the results are input into the Q-Factor model and applied to the pooled loans which are reviewed to determine the adequacy of the reserve.

Additional details describing the model by portfolio segment are below:

Consumer Loan Portfolio

The consumer loan portfolio segment is comprised of the single family and home equity loan classes, which are underwritten after evaluating a borrower's capacity, credit and collateral. Other consumer loans are grouped with home equity loans. Capacity refers to a borrower's ability to make payments on the loan. Several factors are considered when assessing a borrower's capacity, including the borrower's employment, income, current debt, assets and level of equity in the property. Credit refers to how well a borrower manages current and prior debts as documented by a credit report that provides credit scores and current and past information about the borrower's credit history. Collateral refers to the type and use of property, occupancy and market value. Property appraisals are obtained to assist in evaluating collateral. Loan-to-property value and debt-to-income ratios, loan amount and lien position are considered in assessing whether to originate a loan. These borrowers are particularly susceptible to downturns in economic trends such as conditions that negatively affect housing prices, demand for housing and levels of unemployment.

Consumer Loan Portfolio Segment Estimated Loss Rate Model

Under CECL, the Bank utilizes pools of loans that are grouped by similar risk characteristics: Single Family and Home Equity Loans which includes Consumer loans. Sub-Pools are established at a more granular level for the calculation of PDs, incorporating delinquency status, original FICO and original LTV.

Consumer portfolio cohorts are established by grouping each ACL sub-pool at a point in time. Once historical cohorts are established, the loans in the cohort are tracked moving forward for default events.

The Q-Factors adjust the expected historic loss rates for current and forecasted conditions that are not provided for in the historical loss information. For Single Family loans all Q-Factors noted above are evaluated. For the Home Equity and Consumer loans, collateral values are not evaluated as the Bank has determined the FICO score trends are a more relevant predictor of default than current collateral value for those types of loans. These factors are evaluated based on current conditions and forecasts (as applicable), using a seven-point scale ranging from significant improvement to significant deterioration.

Commercial Loan Portfolio

The commercial loan portfolio segment is comprised of the non-owner occupied commercial real estate, multifamily, construction and land development, owner occupied commercial real estate and commercial business loan classes, whose underwriting standards consider the factors described for single family and home equity loan classes as well as others when assessing the borrower's and associated guarantors or other related party’s financial position. These other factors include assessing liquidity, net worth, leverage, other outstanding indebtedness of the borrower, the quality and reliability of cash expected to flow through the borrower (including the outflow to other lenders) and prior known experiences with the borrower.

This information is used to assess financial capacity, profitability and experience. Ultimate repayment of these loans is sensitive to interest rate changes, general economic conditions, liquidity and availability of long-term financing.

Commercial Loan Portfolio Segment Loss Rate Model

The Bank maintained loan classes above but has subdivided the construction and land development, which includes lot, land and acquisition and development loans, into the following ACL reporting pools to more accurately group risk characteristics: Multifamily, Commercial Real Estate, Single Family and Single Family construction to permanent. ACL sub-pools are established at a more granular level for the calculation of PDs, utilizing risk rating.

As outlined in the Bank’s policies, commercial loans pools are non-homogenous and are regularly assessed for credit quality. For purposes of CECL, loans are sub-pooled according to the following AQR Ratings:


•	1-6: These loans meet the definition of “Pass" assets. They are well protected by the current net worth and paying capacity of the obligor (or guarantors, if any) or by the fair value, less costs to acquire and sell in a timely manner, of any underlying collateral. The Bank further uses the available AQR ratings for components of the sub-pools.


•	7: These loans meet the regulatory definition of “Special Mention.” They contain potential weaknesses, that if uncorrected may result in deterioration of the likelihood of repayment or in the Bank’s credit position.


•	8: These loans meet the regulatory definition of “Substandard”. They are inadequately protected by the current sound worth and paying capacity of the borrower or of the collateral pledged, if any. They have well-defined weaknesses and have unsatisfactory characteristics causing unacceptable levels of risk.

Commercial segment cohorts are established by grouping each ACL sub-pool at a point in time. Once historical cohorts are established, the loans in the cohort are tracked moving forward for default events. The Q-Factors adjust the expected historic loss rates for current and forecasted conditions that are not provided for in the historical loss information. All the Q-Factors noted above are evaluated for Commercial portfolio loans except for Commercial Business and Owner Occupied Commercial Real Estate ("CRE") loans which exclude the collateral values Q-Factor. The Company has determined that these loans are primarily underwritten by evaluating the cash flow of the business and not the underlying collateral. Factors above are evaluated based on current conditions and forecasts (as applicable), using a seven-point scale ranging from significant improvement to significant deterioration.

Loans That Do Not Share Risk Characteristics with Other Loans

For a loan that does not share risk characteristics with other loans, expected credit loss is measured on net realizable value that is the difference between the discounted value of the expected future cash flows, based on the original effective interest rate and the amortized cost basis of the loan. For these loans, we recognize expected credit loss equal to the amount by which the net realizable value of the loan is less than the amortized cost basis of the loan (which is net of previous charge-offs and deferred loan fees and costs), except when the loan is collateral dependent, which is when the borrower is experiencing financial difficulty and repayment is expected to be provided substantially through the operation or sale of the collateral. In these cases, expected credit loss is measured as the difference between the amortized cost basis of the loan and the fair value of the collateral. The fair value of the collateral is adjusted for the estimated costs to sell if repayment or satisfaction of a loan is dependent on the sale (rather than only on the operation) of the collateral.

The starting point for determining the fair value of collateral is through obtaining external appraisals. Generally, collateral values for collateral dependent loans are updated every twelve months, either from external third parties or in-house certified appraisers. A third-party appraisal is required at least annually for substandard loans and OREO. Third party appraisals are obtained from a pre-approved list of independent, third party, local appraisal firms. Approval and addition to the list is based on experience, reputation, character, consistency and knowledge of the respective real estate market. Generally, appraisals are internally reviewed by the appraisal services group to ensure the quality of the appraisal and the expertise and independence of the appraiser. For performing consumer segment loans secured by real estate that are classified as collateral dependent, the Bank determines the fair value estimates quarterly using automated valuation services. Once the expected loss amount is determined, an allowance is recorded equal to the calculated expected credit loss and included in the ACL. If the calculated expected loss is determined to be permanent or not recoverable, the expected credit loss will be charged off. Factors considered by management in determining if the expected credit loss is permanent or not recoverable include whether management judges the loan to be uncollectible, repayment is deemed to be protracted beyond reasonable time frames, or the loss becomes evident owing to the borrower's lack of assets or, for single family loans, the loan is 180 days or more past due unless both well-secured and in the process of collection.

Allowance for Credit Losses for Off-Balance Sheet Credit Exposures

The Bank estimates expected credit losses over the contractual period in which the Bank is exposed to risk via a contractual obligation to extend credit, unless that obligation is unconditionally cancellable by the Bank. Reserves are required for off-balance-sheet credit exposures that are not unconditionally cancellable. The allowance for credit losses on unfunded loan commitments is based on an estimate of unfunded commitment utilization over the life of the loan, applying the EL to the estimated utilization balance as of the reporting period. As these estimated credit loss calculations are similar to the funded LHFI they share similar risks plus the additional risk from estimating commitment utilization.

Allowance for Credit Losses for Other Financial Instruments

The Company evaluates available-for-sale securities in an unrealized loss position, using a qualitative approach, at the end of each quarter to determine whether the decline in value is temporary or permanent. An unrealized loss exists when the fair value of an individual lot is less than its amortized cost basis. When qualitative factors indicate that a credit loss may exist, the Company compares the present value of cash flows expected to be collected from the security with the amortized cost basis of the security. The Company recognizes an ACL measured as the difference between the present value of expected cash flows and the amortized cost basis of the security, limited by the amount that the security’s fair value is less than its amortized cost basis. The Company does not believe any of these securities that were in an unrealized loss position at June 30, 2020 represent a credit loss impairment.

The Company carries a limited amount of HTM debt securities. Utilizing the CECL approach, the Company determined that the expected credit loss on this portfolio was immaterial, and therefore, an ACL for investment securities was not recorded as of June 30, 2020.

Derivatives and Hedging Activities

To reduce the risk of significant interest rate fluctuations on the value of certain assets and liabilities, such as certain mortgage LHFS or MSRs, the Company utilizes derivatives, such as forward sale commitments, futures, option contracts, interest rate swaps and interest rate swaptions as risk management instruments in its hedging strategy. Derivative transactions are measured in terms of notional amount, which is not recorded in the consolidated balance sheets. The notional amount is generally not exchanged and is used as the basis for interest and other contractual payments.

Derivatives are reported at their respective fair values in the other assets or accounts payable and other liabilities line items on the consolidated balance sheets, with changes in fair value reflected in current period earnings.

As permitted under U.S. GAAP, the Company nets derivative assets and liabilities when a legally enforceable master netting agreement exists between the Company and the derivative counterparty, which are documented under industry standard master agreements and credit support annexes. The Company's master netting agreements provide that following an uncured payment default or other event of default, the non-defaulting party may promptly terminate all transactions between the parties and determine a net amount due to be paid to, or by, the defaulting party.

The collateral used under the Company's master netting agreements is typically cash, but securities may be used under agreements with certain counterparties. Receivables related to cash collateral that has been paid to counterparties is included in other assets. Payables related to cash collateral that has been received from counterparties is included in accounts payable and other liabilities. Interest is owed on amounts received from counterparties and we earn interest on cash paid to counterparties. Any securities pledged to counterparties as collateral remain on the consolidated balance sheets.

Mortgage Banking Operations

All MSRs are initially measured and recorded at fair value at the time loans are sold. Single family MSRs are subsequently carried at fair value with changes in fair value reflected in earnings in the periods in which the changes occur, while multifamily and SBA MSRs are subsequently carried at the lower of amortized cost or fair value.

The fair value of MSRs is determined based on the price that would be received to sell the MSRs in an orderly transaction between market participants at the measurement date. The Company determines fair value using a valuation model that calculates the net present value of estimated future cash flows. Estimates of future cash flows include contractual servicing fees, ancillary income and costs of servicing, the timing of which are impacted by assumptions, primarily expected prepayment speeds and discount rates, which relate to the underlying performance of the loans.

The initial fair value measurement of MSRs is adjusted up or down depending on whether the underlying loan pool interest rate is at a premium, discount or par.

Fair Value Measurement

Valuation Processes

The Company has various processes and controls in place to ensure that fair value measurements are reasonably estimated. The Finance Committee of the Board provides oversight and approves the Company's Asset/Liability Management Policy ("ALMP"). The Company's ALMP governs, among other things, the application and control of the valuation models used to measure fair value. On a quarterly basis, the Company's Asset/Liability Management Committee ("ALCO") and the Finance Committee of the Board review significant modeling variables used to measure the fair value of the Company's financial instruments, including the significant inputs used in the valuation of single family MSRs. Additionally, ALCO periodically obtains an independent review of the MSR valuation process and procedures, including a review of the model architecture and the valuation assumptions. The Company obtains an MSR valuation from an independent valuation firm monthly to assist with the validation of the fair value estimate and the reasonableness of the assumptions used in measuring fair value.

The Company's real estate valuations are overseen by the Company's appraisal department, which is independent of the Company's lending and credit administration functions. The appraisal department maintains the Company's appraisal policy and recommends changes to the policy subject to approval by the Company's Loan Committee and the Credit Committee of the Board. The Company's appraisals are prepared by independent third-party appraisers and the Company's internal appraisers. Single family appraisals are generally reviewed by the Company's single family loan underwriters. Single family appraisals with unusual, higher risk or complex characteristics, as well as commercial real estate appraisals, are reviewed by the Company's appraisal department.

We obtain pricing from third party service providers for determining the fair value of a substantial portion of our investment securities AFS. We have processes in place to evaluate such third party pricing services to ensure information obtained and valuation techniques used are appropriate. For fair value measurements obtained from third party services, we monitor and review the results to ensure the values are reasonable and in line with market experience for similar classes of securities. While the inputs used by the pricing vendor in determining fair value are not provided and therefore unavailable for our review, we do perform certain procedures to validate the values received, including comparisons to other sources of valuation (if available), comparisons to other independent market data and a variance analysis of prices by Company personnel that are not responsible for the performance of the investment securities.

Estimation of Fair Value

Fair value is based on quoted market prices, when available. In cases where a quoted price for an asset or liability is not available, the Company uses valuation models to estimate fair value. These models incorporate inputs such as forward yield curves, loan prepayment assumptions, expected loss assumptions, market volatilities and pricing spreads utilizing market-based inputs where readily available. The Company believes its valuation methods are appropriate and consistent with those that would be used by other market participants. However, imprecision in estimating unobservable inputs and other factors may result in these fair value measurements not reflecting the amount realized in an actual sale or transfer of the asset or liability in a current market exchange.

The following table summarizes the fair value measurement methodologies, including significant inputs and assumptions and classification of the Company's assets and liabilities.



Asset/Liability class	Valuation methodology, inputs and assumptions	Classification
Investment securities
Investment securities AFS	Observable market prices of identical or similar securities are used where available.	Level 2 recurring fair value measurement.
	If market prices are not readily available, value is based on discounted cash flows using the following significant inputs: • Expected prepayment speeds • Estimated credit losses • Market liquidity adjustments	Level 3 recurring fair value measurement.
LHFS
Single family loans, excluding loans transferred from held for investment	Fair value is based on observable market data, including: • Quoted market prices, where available • Dealer quotes for similar loans • Forward sale commitments	Level 2 recurring fair value measurement.
	When not derived from observable market inputs, fair value is based on discounted cash flows, which considers the following inputs: • Benchmark yield curve • Estimated discount spread to the benchmark yield curve • Expected prepayment speeds	Estimated fair value classified as Level 3.
Mortgage servicing rights
Single family MSRs	For information on how the Company measures the fair value of its single family MSRs, including key economic assumptions and the sensitivity of fair value to changes in those assumptions, see Note 7, Mortgage Banking Operations.	Level 3 recurring fair value measurement.
Derivatives
Eurodollar futures	Fair value is based on closing exchange prices.	Level 1 recurring fair value measurement.
Interest rate swaps Interest rate swaptions Forward sale commitments	Fair value is based on quoted prices for identical or similar instruments, when available. When quoted prices are not available, fair value is based on internally developed modeling techniques, which require the use of multiple observable market inputs including: • Forward interest rates • Interest rate volatilities	Level 2 recurring fair value measurement.
Interest rate lock commitments	The fair value considers several factors including: • Fair value of the underlying loan based on quoted prices in the secondary market, when available. • Value of servicing • Fall-out factor	Level 3 recurring fair value measurement.