secured by real estate. Credit risk may be impacted by the creditworthiness
of a borrower, property values and the local
economies in the borrower’s market areas.
●
Construction and Land Development
- The category includes loans that are usually based upon estimates of costs and
estimated value of the completed project and include independent appraisal reviews
and a financial analysis of the
developers and property owners. Sources of repayment include permanent
loans, sales of developed property or an
interim loan commitment from the Company until permanent financing
is obtained. These loans are higher risk than
other real estate loans due to their ultimate repayment being sensitive to interest rate
changes, general economic
conditions and the availability of long-term financing. Credit risk may
be impacted by the creditworthiness of a
borrower, property values and the local economies in the borrower’s market
areas.
●
Residential Real Estate
- The category includes loans that are generally secured by owner-occupied
1-4 family
residences.
Repayment of these loans is primarily dependent on the personal income and
credit rating of the borrowers.
Credit risk in these loans can be impacted by economic conditions within
or outside the borrower’s market areas that
might impact either property values or a borrower’s personal income.
●
Multifamily Real Estate -
The category includes loans that are generally secured by multifamily properties.
Repayment
of these loans is primarily dependent on occupancy rates and the personal
income of the tenants. Credit risk in these
loans can be impacted by economic conditions within or outside the
borrower’s market areas that might impact either
property values or the tenants’ personal income.
●
Consumer
- The category includes revolving lines of credit and various term loans such as automobile
loans and loans
for other personal purposes. Repayment is primarily dependent on
the personal income and credit rating of the
borrowers. Credit risk is driven by consumer economic factors (such as unemployment
and general economic conditions
in the borrower’s market area) and the creditworthiness of a borrower.
Allowance for Credit Losses
The Company established a CECL committee that meets at least quarterly to oversee the Allowance for Credit Loss methodology.
The committee estimates the ACL using relevant available information, from internal and external sources, relating to past events,
current conditions, and reasonable and supportable forecasts. The ACL represents the Company’s current estimate of lifetime credit
losses inherent in the loan portfolio at the balance sheet date. The ACL is adjusted for expected prepayments when appropriate and
excludes expected extensions, renewals, and modifications.
The ACL is the sum of three components: (i) asset specific / individual loan reserves; (ii) quantitative (formulaic or pooled)
reserves; and (iii) qualitative (judgmental) reserves.
Asset Specific -
When unique qualities cause a loan’s exposure to loss to be inconsistent with the
pool segments, the loan is
individually evaluated. Individual reserves are calculated for loans
that are risk-rated substandard and on non-accrual and loans that are
risk-rated doubtful or loss that are greater than a defined dollar threshold. In
addition, troubled debt restructurings (“TDRs”) are also
individually evaluated. Reserves on asset specific loans may be based on collateral,
for collateral-dependent loans, or on quantitative and
qualitative factors, including expected cash flow, market sentiment, and guarantor
support.
Quantitative
- The Company used the cohort method, which identifies and captures the balance of a pool of loans with similar
risk characteristics as of a particular time to form a cohort. For example, the
outstanding commercial loans and commercial lines of
credit loan segments as of quarter-end are considered cohorts. The cohort is then tracked
for losses over the remaining life of loans or
until the pool is exhausted. The Company used a lookback period of approximately
six-years to establish the cohort population. By using
the historical data timeframe, the Company can establish a historical loss factor
for each of its loan segments and adjust the losses with
qualitative and forecast factors.
Qualitative
– The Company uses qualitative factors to adjust the historical loss factors for current conditions. The Company
primarily uses the following qualitative factors:
◾
The nature and volume of changes in risk ratings;
◾
The volume and severity of past due loans;