Page 57 - Ecobank Gambia Annual Report 2020
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Previous values: GDP Growth-0 Fiscal Bal-0 Trade Bal-0 SPGSCI-3
2.13 -4.20 -17.13 507.15
Statistical Inputs 4.26 2.06 4.17 121.81
1.97 1.22 0.63 0.17
Mean -0.52 0.24 -0.79 -0.23
Standard
Eigenvalues
Principal Component Score 1
Principal Component Score 2 0.43 -0.65 -0.32 -0.54
Despite these changes, the results from the recalibrated model was not materially different from the results of the IFRS9
impairment assessment. Below are the results as at December 31st 2020 using both Models.
Breakdown by Stage
Model Output (Pre-Overrides & Ovelays) Model Output (Pre-Overrides & Ovelays)
Exposure Impairment Covergae Exposure Impairment Covergae
Ratio Ratio
Stage 1 1,831,008,337 2,856,525 0.20% 1,831,008,377 2,856,525 0.20%
Stage 2
Stage 3 1,386,938 5.355 0.39% 1,386,938 5,355 0.39%
Total
18,275,901 8,030,090 43.94% 18,275,901 14,293,560 78.21%
1,850,671,216 10,981,970 0.63% 1,850,671,216 17,155,440 0.97%
PREVIOUS MODEL: RESULTS AS AT DECEMBER 31ST 2020
Breakdown by Stage
Model Output (Pre-Overrides & Ovelays) Model Output (Pre-Overrides & Ovelays)
Exposure Impairment Covergae Exposure Impairment Covergae
Ratio Ratio
Stage 1 1,831,008,337 2,856,525 0.20% 1,831,008,377 2,856,525 0.20%
Stage 2
Stage 3 1,386,938 5.355 0.39% 1,386,938 5,355 0.39%
Total
18,275,901 8,030,090 43.94% 18,275,901 14,293,560 78.21%
1,850,671,216 11,612,402 0.63% 1,850,671,216 17,875,872 0.97%
RECALIBRATED (NEW) MODEL: RESULTS AS AT DECEMBER 31ST 2020
Measurement of ECL estimated prepayment rates. The estimation is based
PD is an estimate of the likelihood of default over a on current conditions, adjusted to take into account
given time horizon. It is estimated as at a point in time. estimates of future conditions that will impact PD.
The calculation is based on statistical rating models, LGD is an estimate of the loss arising on default. It is
and assessed using rating tools tailored to the various based on the difference between the contractual cash
categories of counterparties and exposures. These flows due and those that the lender would expect
statistical models are based on market data (where to receive, taking into account cash flows from any
available), as well as internal data comprising both collateral. The LGD models for secured assets consider
quantitative and qualitative factors. PDs are estimated forecasts of future collateral valuation taking into account
considering the contractual maturities of exposures and sale discounts, time to realisation of collateral, cross-
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