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Multiple forward-looking scenarios

               The  Bank  determines  allowance  for  credit  losses  using  three  probability-weighted  forward-looking
               scenarios. The Bank considers both internal and external sources of information in order to achieve an
               unbiased measure of the scenarios used. The Bank prepares the scenarios using forecasts generated
               by credible sources such as Business Monitor International (BMI), International Monetary Fund (IMF),
               Gambia Bureau of Statistics (GBoS), World Bank and Central Bank of The Gambia (CBG).

               The Bank estimates three scenarios for each risk parameter (LGD, EAD, CCF and PD) – Normal, Upturn
               and Downturn, which in turn is used in the estimation of the multiple scenario ECLs. The ‘normal case’
               represents the most likely outcome and is aligned with information used by the Bank for other purposes
               such  as  strategic  planning  and  budgeting.  The  other  scenarios  represent  more  optimistic  and  more
               pessimistic outcomes. The Bank has identified and documented key drivers of credit risk and credit losses
               for  each  portfolio  of  financial  instruments  and,  using  an  analysis  of  historical  data,  has  estimated
               relationships between macro-economic variables, credit risk and credit losses.

               Assessment of significant increase in credit risk (SICR)

               At each reporting date, the Bank assesses whether there has been a significant increase in credit risk for
               exposures since initial recognition by comparing the risk of default occurring over the remaining expected
               life from the reporting date and the date of initial recognition. The assessment considers borrower-specific
               quantitative  and  qualitative  information  without  consideration  of  collateral,  and  the  impact  of
               forwardlooking  macroeconomic  factors.  The  common  assessments  for  SICR  on  retail  and  non-retail
               portfolios include macroeconomic outlook, management judgement, and delinquency and monitoring.
               Forward  looking  macroeconomic  factors  are  a  key  component  of  the  macroeconomic  outlook.  The
               importance  and  relevance  of  each  specific  macroeconomic  factor  depends  on  the  type  of  product,
               characteristics of the financial instruments and the borrower and the geographical region.

               The Bank adopts a multi factor approach in assessing changes in credit risk. This approach considers:
               Quantitative (primary), Qualitative (secondary) and Back stop indicators which are critical in allocating
               financial assets into stages.

               The quantitative models considers deterioration in the credit rating of obligor/counterparty based on the
               Bank’s  internal  rating  system  while  qualitative  factors  considers  information  such  as  expected
               forbearance, restructuring, exposure classification by licensed credit bureau, etc.

               A backstop is typically used to ensure that in the (unlikely) event that the primary (quantitative) indicators
               do not change and there is no trigger from the secondary (qualitative) indicators, an account that has
               breached the 30 days past due criteria for SICR and 90 days past due criteria for default is transferred
               to stage 2 or stage 3 as the case may be except there is a reasonable and supportable evidence available
               without undue cost to rebut the presumption.

               Definition of Default and Credit Impaired Financial Assets

               At each reporting date, the Bank assesses whether financial assets carried at amortised cost and debt
               financial assets carried at FVOCI are credit-impaired. A financial asset is ‘credit-impaired’ when one or
               more events that have a detrimental impact on the estimated future cash flows of the financial asset have
               occurred.

               Evidence that a financial asset is credit-impaired includes the following observable data:

                   •   Significant financial difficulty of the borrower or issuer;

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               Guaranty Trust Bank (Gambia) Limited Financial Statements December 2021
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