Expected credit losses as at 31 December
2022 amounted to PLN
5,884,032
thousand in
the portfolio of loans and advances to
customers with a gross value of PLN
158,392,724
thousand.
The Management Board monitors the correct
functioning of the models, among others by
comparing the
results estimated by the models
to actual credit losses (backtesting procedures)
and performing periodic quantitative validation
of the models.
In the models of expected credit losses, the
Group uses large amounts of data, therefore
the completeness and reliability of data may
significantly affect the accuracy of allowances
for credit losses.
We considered allowances for expected credit
losses for loans and advances portfolio as a
key audit matter due to:
●
significant judgement used by the
Management Board in modelling future
scenarios and forecasting macroeconomic
variables, assuming the probability of
occurrence of individual scenarios;
●
high degree of uncertainty related to the
estimation of the allowance for expected
credit losses due to dynamic changes in the
economic environment, which affect the
forecasted macroeconomic parameters and
thus the credit risk parameters used in the
models for estimating expected credit
losses;
●
the complexity of the audit procedures and
the audit evidence obtained due to the
complexity of the calculations and the
amount of data used to estimate the
allowances for expected credit losses.
Note 2.6
Use of estimates
, Note 2.9
The most
significant accounting policies
, Note 4
Risk
management
and Note 22
Loans and
advances to customers
in the consolidated
financial statements provide detailed
information on the methods and models used
and the level of
allowances for the expected
credit losses in the portfolio of loans and
advances to customers.
As part of the work on statistical models, we
performed the following procedures, for which we
engaged our internal credit risk modelling specialists:
●
assessment whether the Group’s methodology
related to the estimation of expected credit losses
is in line with the requirements of IFRS 9, in
particular verification of the Group’s approach to
applying the criteria to identify significant increase
in credit risk, default definition, PD and LGD
parameters and including forward-looking
information when calculating expected credit
losses;
●
critical analysis of key judgments and
assumptions, including macroeconomic scenarios
and the probability-weightings assigned to
particular scenarios;
●
independent tests of the credit risk parameters.
In the area of the individually assessed exposures,
we performed the following procedures:
●
we selected a sample taking into account various
risk criteria based on our professional judgement,
●
for selected loans and advances we checked the
stage classification as at the balance sheet date;
●
for selected impaired loans and advances (stage
3) we tested the assumptions used in the
expected credit loss allowances’ calculation,
particularly expected scenarios and probabilities
assigned to them and the timing and amount of
expected cash flows, including cash flows from
repayments and realisation of collaterals.
Moreover, we performed the following procedures:
●
we reconciled selected input data used for
determining default parameters and estimating
expected credit losses;
●
in relation to individual portfolios, we verified the
assignment of exposures to appropriate baskets
based on selected quantitative parameters;
●
we performed a recalculation of expected credit
losses for selected loan portfolios;
●
we performed analytical procedures over provision
coverage of the credit portfolio, its changes in
2022 and transfers between stages in 2022;
●
we analysed the results of the management's
sensitivity analysis of the level of allowances for