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statistical analyses use as primary inputs the extent to which accounts in the portfolio<br />

are in arrears and historical loss experience on the eventual losses encountered from<br />

similar delinquent portfolios.<br />

»»<br />

Models contain both judgmental and non-judgmental inputs. The extent <strong>of</strong> judgement<br />

utilised in models developed for new loan products is greater than that for older<br />

products, given the limited historical experience available for the new products.<br />

»»<br />

In outline, the statistical analyses are performed on a portfolio basis as follows:<br />

- Loans and advances are monitored on a product basis, with each month’s<br />

advances being treated as a discrete portfolio, on which an analysis <strong>of</strong> the run-<strong>of</strong>f<br />

recoveries, in period buckets and ratified between default statistics, is performed<br />

to develop an historical base for statistics on probability <strong>of</strong> default (PD).<br />

- These derived statistics, based on actual experience, are used in plotting default<br />

values on a model curve that reflects the risk pr<strong>of</strong>ile <strong>of</strong> the portfolio.<br />

- Clients in arrears by more than 90 days are handed over to external debt<br />

collectors. Recoveries from short-term loans are regarded as negligible as<br />

collateral is not required for the granting <strong>of</strong> advances in the current product range.<br />

The estimated recoveries on longer-term loans discounted at the contractual rates<br />

are recognised in gross loans and advances.<br />

- Upon write-<strong>of</strong>f, the accrual <strong>of</strong> interest income on the original term <strong>of</strong> the advance is<br />

discontinued.<br />

- The expected amount outstanding when default occurs that is not subsequently<br />

recovered, or the loss given default (LGD), is considered in calculating the<br />

impairment allowance.<br />

In addition to the impairment estimated for assets with recognised objective evidence <strong>of</strong><br />

impairment, an estimate is made for impairments associated with those assets in the balance<br />

sheet that are impaired, but for which objective evidence is not yet available.<br />

»»<br />

The impairment calculation utilises the results <strong>of</strong> the statistical analyses referred to<br />

above to estimate the proportion <strong>of</strong> assets in each portfolio that are likely to display<br />

objective evidence <strong>of</strong> impairment over the emergence period. The emergence period<br />

is defined as the experience <strong>of</strong> the length <strong>of</strong> time that it takes for objective evidence to<br />

become apparent after the asset has become impaired.<br />

»»<br />

In considering the occurrence <strong>of</strong> a loss event over the life <strong>of</strong> a loan, it is assumed that<br />

there is a constant risk <strong>of</strong> the loss event occurring at any point in the life <strong>of</strong> the loan.<br />

The methodology and assumptions used for estimating future cash flows are reviewed<br />

regularly to reduce differences between loss estimates and actual loss experience.<br />

All impaired loans and advances are reviewed monthly and any changes to the amount and<br />

timing <strong>of</strong> the expected future cash flows compared to previous estimates will result in a change<br />

to the charges for impairment <strong>of</strong> loans and advances in the income statement.<br />

Customers (and the related impairment allowance accounts) are written <strong>of</strong>f at the earliest<br />

<strong>of</strong> when they are in arrears and all attempts to collect have failed. The estimated recoveries<br />

on loans written <strong>of</strong>f are regarded as insignificant and are recognised as a gain in the<br />

Consolidated Combined Statement <strong>of</strong> Pr<strong>of</strong>it or Loss and Comprehensive Income.<br />

MyBucks Group - 2016<br />

Category <strong>of</strong><br />

default<br />

0<br />

Category <strong>of</strong><br />

default<br />

1<br />

Category <strong>of</strong><br />

default<br />

2<br />

Category <strong>of</strong><br />

default<br />

3<br />

Category <strong>of</strong><br />

default<br />

4<br />

Botswana loan book 83% 5% 2% 1% 9%<br />

Malawi loan book 90% 1% 1% 1% 7%<br />

Zimbabwe loan book 92% 2% 2% 1% 4%<br />

Kenya loan book 66% 2% 1% 1% 30%<br />

Zambia loan book 88% 4% 1% 1% 6%<br />

South African loan book 50% 6% 7% 7% 30%<br />

Other subsidiary loan books 68% 13% 5% 3% 12%<br />

The Spain and Poland 2016 impairment model was based on the same principals as 2015. Applying the same categories for<br />

2015, the Spain 2016 loan book composition consisted <strong>of</strong> performing, partial performing, doubtful 0-90 days, doubtful<br />

91-360 days, loss.<br />

MyBucks Group - 2016<br />

Performing<br />

Partial<br />

performing<br />

Nonperforming<br />

0 - 90 days<br />

Nonperforming<br />

- 91 to 360<br />

days<br />

Nonperforming<br />

-<br />

360 days +<br />

Spain 1% 1% 5% 58% 35%<br />

Poland 18% 19% 17% 8% 38%<br />

MyBucks Group 2016<br />

Impairment as % <strong>of</strong><br />

gross loan book<br />

Botswana Loan Book 9%<br />

Malawi Loan Book 8%<br />

Zimbabwe Loan Book 8%<br />

Kenya Loan Book 25%<br />

Zambia Loan Book 8%<br />

Spain Loan Book 71%<br />

South Africa Loan Book 34%<br />

Other subsidiary Loan Books 24%<br />

| Introduction | Business Overview | Corporate Governance | Financial Statements | Other |<br />

MyBucks Annual Report 2016 100<br />

101 MyBucks Annual Report 2016

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