Key
audit matters
Key
audit matters are those matters that, in our professional judgement,
were of most significance
in
our audit of the consolidated financial statements of the current
period. These matters were
addressed
in the context of our audit of the consolidated financial statements
as a whole, and in
forming
our opinion thereon, and we do not provide a separate opinion on
these matters.
Key
Audit Matter
How
our audit addressed the Key Audit
Matter
Credit
loss allowance for loans and advances
to
customers, using the expected credit loss
model
in line with the requirements of IFRS 9
“Financial
Instruments”
This
is a complex accounting standard for
which
models have been developed by the
Group
as a basis to calculate expected credit
losses
(“ECL”). These calculations involve the
application
of significant management
judgement
and estimates.
In
relation to the ECL models for measuring
credit
loss allowance we assessed the
appropriateness
of the key assumptions used
in
the methodologies and models of the Group
and
their compliance with the requirements of
IFRS
9.
Therefore,
we applied focus to the “expected
credit
loss” models used by the Management
for
the purpose of compliance with IFRS 9.
These
models are described in more detail in
Note
41 “Significant Accounting Policies” and
Note
30 “Financial and Insurance Risk
Management”
to the consolidated financial
statements.
We
reviewed the Group’s back-testing of
probabilities
of default estimated on the basis
of
the models by comparing them to the actual
default
rates evidenced in the loan portfolios.
In
addition we performed our own back-testing
of
default probabilities based on actual
movements
into Stage 3 category of loans in
2021
to ensure the reasonableness of the
application
of the policies and models used.
An
assessment of the credit loss allowance for
loans
and advances to customers is performed
on
a portfolio basis, with the key assumptions
being
the probability of an account falling into
arrears
and subsequently defaulting (which is
impacted
by the definitions of “significant
increase
in credit risk” and “default”), the
estimated
recoveries from defaulted loans and
the
lifetime period for revolving credit
facilities.
Statistical models are used for the
assessment
of the probability of default,
recovery
rate and the lifetime period for
revolving
credit facilities. In addition,
For
a sample of inputs into estimation of
recovery
rate, we tested them for accuracy and
criteria
for inclusion into the calculation.
With
regard to the controls relating to the
credit
loss allowance calculation process, we
assessed
and tested on a sample basis the
design
and operating effectiveness of the key
controls
over credit loss data and calculations.
These
key controls included those over
classification
of certain loans by loan
portfolios,
allocation of cash received from
customers
to respective loans and advances to
customers,
identification of the overdue loans
and
the data transfer from source systems to
the
credit loss allowance models.
calculation
of the expected credit loss
allowance
incorporates forward-looking
information,
taking into consideration
different
macro-economic scenarios and
adjusting
the probability of default.
We
assessed if and to what extent we could
place
reliance upon these key controls for the
purposes
of our audit.
In
addition, we performed testing, on a sample
basis,
of the accuracy of allocation of loans to
the
different “stages” and the completeness of
restructured
credit-impaired loans.
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