Page 51 - Agib Bank Ltd Annual Report and IFRS Financial statements 2020
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• Credit rating information supplied by external rating agencies;
• For retail exposures: internally generated data of customer behaviour, affordability metrics etc.; and
• For corporate exposures: information obtained by periodic review of customer files including audited financial
statements review, market data such as prices of credit default swaps (CDS) or quoted bonds where available,
changes in the financial sector the customer operates etc.
The Bank uses credit risk grades as a primary input into the determination of the term structure of the PD for
exposures. The Bank collects performance and default information about its credit risk exposures analysed by
jurisdiction or region and by type of product and borrower as well as by credit risk grading. The information used
is both internal and external depending on the portfolio assessed.
The Bank analyses all data collected using statistical models and estimates the remaining lifetime PD of
exposures and how these are expected to change over time. The factors taken into account in this process
include macro-economic data such as GDP growth, unemployment, benchmark interest rates and house prices.
The Bank generates a ‘base case’ scenario of the future direction of relevant economic variables as well as a
representative range of other possible forecast scenarios. The Bank then uses these forecasts, which are
probability-weighted, to adjust its estimates of PDs.
The Bank uses different criteria to determine whether credit risk has increased significantly per portfolio of assets.
The criteria used are both quantitative changes in PDs as well as qualitative. The table below summarises per
type of asset the range above which an increase in lifetime PD is determined to be significant, as well as some
indicative.
Loan commitments are assessed along with the category of loan the Bank is committed to provide, i.e.
commitments to provide mortgages are assessed using similar criteria to mortgage loans, while commitments to
provide a corporate loan are assessed using similar criteria to corporate loans.
Irrespective of the outcome of the above assessment, the Bank presumes that the credit risk on a financial asset
has increased significantly since initial recognition when contractual payments are more than 30 days past due
unless the Bank has reasonable and supportable information that demonstrates otherwise.
The Bank has monitoring procedures in place to make sure that the criteria used to identify significant increases
in credit are effective, meaning that significant increase in credit risk is identified before the exposure is defaulted
or when the asset becomes 30 days past due.
The Bank performs periodic back-testing of its ratings to consider whether the drivers of credit risk that led to
default were accurately reflected in the rating in a timely manner.
Incorporation of forward-looking information
The Bank uses forward-looking information that is available without undue cost or effort in its assessment of
significant increase of credit risk as well as in its measurement of ECL.
The Bank employs experts who use external and internal information to generate a ‘base case’ scenario of future
forecast of relevant economic variables along with a representative range of other possible forecast scenarios.
The external information used includes economic data and forecasts published by governmental bodies and
monetary authorities. The Bank applies probabilities to the forecast scenarios identified. The base case scenario
is the single most-likely outcome and consists of information used by the Bank for strategic planning and
budgeting.
The Bank has identified and documented key drivers of credit risk and credit losses for each portfolio of financial
instruments and, using a statistical analysis of historical data, has estimated relationships between macro-
economic variables and credit risk and credit losses. The Bank has not made changes in the estimation
techniques or significant assumptions made during the reporting period.
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