XML 95 R12.htm IDEA: XBRL DOCUMENT v3.20.1
Allowance For Credit Losses
3 Months Ended
Mar. 31, 2020
Allowance for Credit Loss [Abstract]  
Allowance for Credit Losses
NOTE 4. ALLOWANCE FOR CREDIT LOSSES
On January 1, 2020, the Company adopted the CECL standard which requires the measurement of expected credit losses for financial assets measured at amortized cost, including loans, and certain off-balance-sheet credit exposures.
Allowance for Credit Losses – Loans
Under the CECL standard, the Company determines the ACL on loans based upon a consideration of its historical portfolio loss experience, current borrower-specific risk characteristics, forecasts of future economic conditions and other relevant factors. The allowance is measured on a collective (pool) basis when similar risk characteristics exist. Loans that do not share common risk characteristics are evaluated on an individual basis and are excluded from the collective evaluation.
The Company’s loan portfolio segments include Commercial and Retail and each of these segments comprises multiple loan classes, which are characterized by similarities in initial measurement, risk attributes, and the manner in which credit risk is monitored and assessed. The Commercial loan portfolio segment is comprised of the commercial real estate, commercial and industrial, equipment financing and MWABL loan classes. The Retail loan portfolio segment is comprised of the residential mortgage, home equity and other consumer loan classes. Common characteristics and risk profiles include the type/purpose of loan and historical/expected credit loss patterns. The Company periodically reassesses each pool to ensure the loans within the pool continue to share similar characteristics and risk profiles and to determine whether further segmentation is necessary.
The ACL on loans represents management’s current estimate of lifetime expected credit losses inherent in the loan portfolio at the balance sheet date. As such, the estimate of expected credit losses is dependent upon portfolio size, composition and credit quality, as well as economic conditions and forecasts existing at that time. Expected future losses are estimated for the loan's entire contractual term adjusted for anticipated prepayments, as appropriate. The contractual term excludes expected extensions, renewals, and modifications unless (i) management has a reasonable expectation that a TDR will be executed with an individual borrower or (ii) such extension or renewal options are not unconditionally cancellable by the Company and, in such cases, the borrower is likely to meet applicable conditions and likely to request extension or renewal.
Credit loss expense related to loans reflects the totality of actions taken on all loans for a particular period including any necessary increases or decreases in the allowance related to changes in credit loss expectations associated with specific loans or pools of loans. Portions of the allowance may be allocated for specific credits; however, the entire allowance is available for any credit that, in management’s judgment, should be charged-off. While management utilizes its best judgment and information available, the ultimate appropriateness of the allowance is dependent upon a variety of factors beyond management's control, including the performance of the loan portfolio, changes in interest rates and the broader economy.
The ACL on loans is comprised of three components: (i) quantitative (formulaic) reserves; (ii) qualitative (judgmental) reserves; and (iii) individual loan reserves.
Quantitative Component
Management estimates the quantitative component by projecting (i) probability-of-default, representing the likelihood that a loan will stop performing/default (“PD”), (ii) loss-given-default, representing the expected loss rate for loans in default (“LGD”) and (iii) exposure-at-default (“EAD”), representing the estimated outstanding principal balance of the loans upon default, based on economic parameters for each month of a loan’s remaining contractual term. Expected credit losses for the quantitative component are calculated as the product of the PD, LGD and EAD.
Historical credit experience provides the basis for the estimation of expected credit losses, with adjustments made for differences in current loan-specific risk characteristics such as differences in underwriting standards, portfolio mix, delinquency levels and terms, as well as for changes in the economic environment over a reasonable and supportable forecast period. The Company utilizes a two-year reasonable and supportable forecast period followed by a one-year period over which estimated losses revert to historical loss experience for the remaining life of the loan.
PDs are estimated by analyzing internal data related to the historical performance of each loan pool over an economic cycle. PDs are adjusted to reflect the current impact of certain macroeconomic variables as well as their expected changes over the reasonable and supportable forecast period. The LGD is based on historical losses for each loan pool, adjusted to reflect the current impact of certain macroeconomic variables as well as their expected changes over a two-year forecast period. EAD is estimated using a linear regression model that estimates the average percentage of the loan balance that remains at the time of a default event. The macroeconomic variables utilized as inputs in the Company’s quantitative modeling process were selected primarily based on their relevance and correlation to historical credit losses. By reverting such modeling inputs to their historical mean and considering loan/borrower specific attributes, the Company’s quantitative models yield a measurement of expected credit losses reflective of average historical loss rates for periods subsequent to the twelve-month reversion period. This same forecast/reversion period is used for all macroeconomic variables employed in all of the Company’s models.
The measurement of expected credit losses is impacted by loan/borrower attributes and certain macroeconomic variables. Significant loan/borrower attributes utilized in the Company’s quantitative modeling include, among other things: 
(i) origination date; (ii) maturity date; (iii) payment type; (iv) collateral type and amount; (v) current risk rating; (vi) current unpaid balance and commitment utilization rate; and (vii) payment status/delinquency history. Significant macroeconomic variables utilized in the Company’s quantitative modeling include, among other things: (i) U.S. Gross Domestic Product; 
(ii) selected market interest rates including U.S. Treasury rates, Prime rate, 30-year fixed mortgage rate, BBB corporate bond rate (spread), among others; (iii) unemployment rates; and (iv) commercial and residential property prices.
In establishing its estimate of expected credit losses, the Company typically employs three separate, externally-sourced forward-looking economic scenarios. Those scenarios, which range from more benign to more severe, represent a ‘most likely outcome’ (the “Baseline” scenario) and two less likely scenarios referred to as the “Upside” scenario and the “Downside” scenario. Each scenario is assigned a weighting with a majority of the weighting placed on the Baseline scenario and lower weights placed on both the Upside and Downside scenarios. The weighting assigned by management is based on the economic outlook and available information at the reporting date. The resultant weighted estimate of expected credit losses is compared to the result of the Baseline scenario with the difference included as an element of the qualitative component (see below). The Company recognizes an approach using three scenarios may be insufficient in certain economic environments. This may result in a change to the weighting assigned to the three scenarios or the inclusion of additional scenarios.
For instance, as a result of the deterioration in economic conditions caused by the spread of the COVID-19 pandemic during the first quarter of 2020, and the corresponding increase in economic uncertainty, a fourth forward-looking economic scenario (the “Severe Downside” scenario) was also considered for purposes of estimating expected credit losses at March 31, 2020. All four scenarios reflected the effects of the COVID-19 pandemic as well as the United States’ monetary and fiscal response. Each scenario was assigned a weighting with the majority of the weighting placed on the Baseline scenario and lower weights placed on each of the Upside, Downside and Severe Downside scenarios. The weighting assigned by management was based on the economic outlook and available information at that date.
Qualitative Component
The ACL on loans also includes qualitative considerations related to idiosyncratic risk factors, changes in current economic conditions that may not be reflected in quantitatively-derived results, and other relevant factors. These qualitative adjustments may increase or decrease management's estimate of expected credit losses by a calculated percentage or amount based upon the estimated level of risk.
The various risks that may be considered in making qualitative adjustments include, among other things, the impact of: (i) changes in lending policies and procedures, including changes in underwriting standards and practices for collections, 
write-offs, and recoveries; (ii) actual and expected changes in international, national, regional, and local economic and business conditions and developments that affect collectability of the loan pools; (iii) changes in the nature and volume of the loan pools and in the terms of the underlying loans; (iv) changes in the experience, ability, and depth of our lending management and staff; (v) changes in volume and severity of past due financial assets, the volume of non-accrual assets, and the volume and severity of adversely classified or graded assets; (vi) changes in the quality of our credit review function; (vii) changes in the value of the underlying collateral for loans that are non-collateral dependent; (viii) the existence, growth, and effect of any concentrations of credit; and (ix) other external factors such as the regulatory, legal and technological environments, competition and events, such as natural disasters or health pandemics.
While the Company’s loss estimation methodologies strive to reflect all relevant risk factors, uncertainty exists associated with, but not limited to, potential imprecision in the estimation process due to the inherent time lag of obtaining information and normal variations between estimates and actual outcomes, including with respect to forward-looking economic forecasts. The qualitative component is designed to provide coverage for losses attributable to such risks.
Individual Component
In some cases, management may determine that an individual loan exhibits unique risk characteristics which differentiate that loan from other loans within the pool. In such cases, the loans are evaluated for expected credit losses on an individual basis and excluded from the collective evaluation. Specific allocations of the ACL are determined by analyzing the borrower’s ability to repay amounts owed, collateral deficiencies, the relative risk of the loan and economic conditions affecting the borrower’s industry, among other things. For collateral dependent loans, expected credit losses are based on the fair value of the collateral at the measurement date, adjusted for estimated selling costs if satisfaction of the loan depends on the sale of the collateral. The Company reevaluates the fair value of collateral supporting collateral dependent loans on a quarterly basis. Specific allocations of the ACL for loans evaluated on an individual basis totaled $8.9 million at March 31, 2020.
The following tables present a summary, by loan portfolio segment, of activity in the ACL for the three months ended March 31, 2020 and 2019:
Three months ended 
March 31, 2020 (in millions)CommercialRetailTotal
Balance at beginning of period,
prior to adoption of CECL
$217.9  $28.7  $246.6  
CECL transition adjustment(17.3) 89.5  72.2  
Charge-offs(9.7) (2.9) (12.6) 
Recoveries1.4  0.6  2.0  
Net loan charge-offs(8.3) (2.3) (10.6) 
Provision for credit losses19.5  14.0  33.5  
Balance at end of period$211.8  $129.9  $341.7  
Three months ended 
March 31, 2019 (in millions)CommercialRetailTotal
Balance at beginning of period$209.5  $30.9  $240.4  
Charge-offs(6.4) (1.1) (7.5) 
Recoveries1.4  1.0  2.4  
Net loan charge-offs(5.0) (0.1) (5.1) 
Provision for credit losses4.5  1.1  5.6  
Balance at end of period$209.0  $31.9  $240.9  

Allowance for Credit Losses – Off-Balance-Sheet Exposures
An ACL on off-balance-sheet exposures is reported in other liabilities in the Consolidated Statements of Condition. This liability represents an estimate of expected credit losses arising from off-balance-sheet exposures such as letters of credit, guarantees and unfunded commitments to extend credit. The process for measuring lifetime expected credit losses on such exposures is consistent with that for Commercial and Retail loans as discussed above (as applicable), but is subject to an additional estimate reflecting the likelihood that funding will occur. Adjustments to the liability are reported as a component of credit loss expense. No liability is recognized for off-balance-sheet credit exposures that are unconditionally cancellable.
The following table summarizes the changes in the ACL on off-balance sheet credit exposures:
(in millions)Three Months Ended March 31, 2020
Balance at beginning of the period$5.6  
CECL transition adjustment14.5
Balance at beginning of period, adjusted20.1
Provision charged (credited) to income0.6
Balance at end of period$20.7