credit losses for loans and advances to
customers is adequate.
In the models of expected credit losses the
Bank uses large volumes of data, therefore the
completeness and reliability of data can
significantly impact accuracy of the allowances
for credit losses.
Due to the dynamic changes taking place in
the macroeconomic environment, the Bank’s
Management, as described in Note 23
Net
allowances for expected credit losses
to
separate
financial statements, recognised
additional
write-offs for the forecasted
deterioration in quality of the loan portfolio in
industries particularly affected by these
changes.
We determined that the level of allowance for
expected credit losses in the portfolio of loans
and advances is a key audit matter due to:
●
the significant judgement applied by the
Bank’s Management when designing future
macroeconomic scenarios and forecasting
macroeconomic variables, adopting
probability-weighting scenarios and applying
expert judgement to reflect characteristics
not already considered in the models;
●
a high degree of uncertainty in the estimates
of expected credit losses due to the
economic impacts of uncertainties resulting
from macroeconomic factors which led to a
high degree of auditor judgement;
●
complexity of audit procedures and audit
evidence obtained due to the complexity of
the calculations and the volume of data used
to estimate the allowances for expected
credit losses.
Note 23
Net allowances for expected credit
losses
, Note 35
Loans and advances to
customers
and Note 53 the
Credit risk
management Note 54
Credit risk – financial
information
section of
separate
financial
statements provide detailed information on the
methods and models used and on the level of
allowances for the expected credit losses for
loans and advances to customers
.
●
analysis of the model stability and its adaptation to
the current conditions;
●
independent tests of credit risk parameters
;
●
for selected loans and advances, we checked the
classification into stages as at the balance sheet
date.
We have engaged our in-house credit risk modelling
specialists to carry out the above-mentioned
procedures.
As part of the work on individually analysed
exposures, we performed the following procedures:
●
we applied our professional judgement in selecting
the sample taking into account various risk criteria;
●
for selected loans and advances we checked the
classification into stages;
●
for selected impaired loans and advances (stage
3), we tested the assumptions used in the
calculation of the impairment allowances, in
particular the forecasted scenarios and associated
probabilities, as well as the timings and amounts of
the expected cash flows, including cash flows from
repayments and collateral realisation.
In addition, we performed the following procedures:
●
we reconciled selected inputs used to determine
default parameters and to estimate expected credit
losses;
●
we verified the assumptions adopted for the
calculation of additional adjustments not included in
the model, created to reflect the impact of
macroeconomic factors
on
projected deterioration
in the quality of the loan portfolio in selected
industries;
●
we recalculated expected credit losses on a sample
of credit exposures;
●
we performed analytical procedures for the
coverage of the loan portfolio with expected credit
losses and their changes and the transfer
s
of
exposure
s
between stages;
●
we analysed the events after the balance sheet
date to verify the need for adjustments to be made
to the expected credit losses as at the balance
sheet date;
●
we analysed the results of the Bank’s Management
sensitivity analysis of the level of allowances for
expected credit losses due to deterioration or
improvement of risk parameters.