XML 191 R28.htm IDEA: XBRL DOCUMENT v3.8.0.1
Goodwill and intangible assets
12 Months Ended
Dec. 31, 2017
Intangible Assets [Abstract]  
Goodwill and intangible assets
20
Goodwill and intangible assets


2017

2016


Footnote
$m

$m

Goodwill

13,588

12,330

Present value of in-force long-term insurance business

6,610

6,502

Other intangible assets
1
3,255

2,514

At 31 Dec

23,453

21,346

1
Included within other intangible assets is internally generated software with a net carrying value of $2,641m (2016: $1,982m).
Movement analysis of goodwill

2017

2016


$m

$m

Gross amount




At 1 Jan
21,445

22,187

Exchange differences
1,490

(562
)
Reclassified to held for sale

(183
)
Other
(33
)
3

At 31 Dec
22,902

21,445

Accumulated impairment losses




At 1 Jan
(9,115
)
(5,893
)
Impairment losses

(3,240
)
Exchange differences
(327
)

Other
128

18

At 31 Dec
(9,314
)
(9,115
)
Net carrying amount at 31 Dec
13,588

12,330

Impairment testing
The Group’s impairment test in respect of goodwill allocated to each cash generating unit (‘CGU’) is performed as at 1 July each year. A review for indicators of impairment is undertaken at each subsequent quarter-end and as at 31 December 2017. No indicators of impairment were identified as part of these reviews.
Basis of the recoverable amount
The recoverable amount of all CGUs to which goodwill has been allocated was equal to its value in use (‘VIU’) at each respective testing date for 2016 and 2017. For each CGU, the VIU is calculated by discounting management’s cash flow projections for the CGU. The key assumptions used in the VIU calculation for each significant CGU are discussed below.
Key assumptions in VIU calculation


Goodwill at
1 Jul 2017

Discount
rate
Nominal growth rate beyond initial cash flow projections
Goodwill at
1 Jul 2016

Discount
rate
Nominal
growth rate beyond initial cash flow projections

Footnote
$m

%
%
$m

%
%
Cash-generating unit







Europe







RBWM

3,508

8.9
3.7
3,446

8.9
3.6
CMB

2,570

9.9
3.6
2,517

9.7
3.8
Global







GB&M
1
4,000

10.6
5.8
n/a

n/a
n/a
1
Subsequent to the 1 July 2016 annual test the CGU for Global Banking and Markets was amended from a regional to a global basis. The first formal impairment test for this CGU was performed as at 1 July 2017.
At 1 July 2017, aggregate goodwill of $3,059m (1 July 2016: $3,025m) had been allocated to CGUs that were not considered individually significant. The Group’s CGUs do not carry on their balance sheets any significant intangible assets with indefinite useful lives, other than goodwill.
Management’s judgement in estimating the cash flows of a CGU
The cash flow projections for each CGU are based on plans approved by the GMB. For the goodwill impairment test conducted at 1 July 2017, management’s cash flow projections until the end of 2021 were used.
Discount rate
The rate used to discount the cash flows is based on the cost of capital assigned to each CGU, which is derived using a capital asset pricing model (‘CAPM’). CAPM depends on a number of inputs reflecting financial and economic variables, including the risk-free rate and a premium to reflect the inherent risk of the business being evaluated. These variables are based on the market’s assessment of the economic variables and management’s judgement. The discount rates for each CGU are refined to reflect the rates of inflation for the countries within which the CGU operate. In addition, for the purposes of testing goodwill for impairment, management supplements this process by comparing the discount rates derived using the internally generated CAPM, with cost of capital rates produced by external sources for businesses operating in similar markets.
Nominal long-term growth rate
The long-term growth rate is used to extrapolate the cash flows in perpetuity because of the long-term perspective within the Group of business units making up the CGUs. These growth rates reflect GDP and inflation for the countries within which the CGU operates or derives revenue from.
Sensitivities of key assumptions in calculating VIU
At 1 July 2017, none of the CGUs were sensitive to reasonably possible adverse changes in key assumptions supporting the recoverable amount. In making an estimate of reasonably possible changes to assumptions, management considers the available evidence in respect of each input to the model such as the external range of discount rates observable, historical performance against forecast and risks attaching to the key assumptions underlying cash flow projections.
Present value of in-force long-term insurance business
When calculating the present value of in-force insurance business (‘PVIF’), expected cash flows are projected after adjusting for a variety of assumptions made by each insurance operation to reflect local market conditions and management’s judgement of future trends, and uncertainty in the underlying assumptions is reflected by applying margins (as opposed to a cost of capital methodology). Variations in actual experience and changes to assumptions can contribute to volatility in the results of the insurance business.
Actuarial Control Committees of each key insurance entity meet on a quarterly basis to review and approve PVIF assumptions. All changes to non-economic assumptions, economic assumptions that are not observable and model methodology must be approved by the Actuarial Control Committee.
Movements in PVIF


2017

2016


Footnotes
$m

$m

PVIF at 1 Jan

6,502

5,685

Change in PVIF of long-term insurance business

24

902

– value of new business written during the year

919

900

– expected return
1
(599
)
(532
)
– assumption changes and experience variances (see below)

(280
)
513

– other adjustments

(16
)
21

Transfer of assets classified as held for sale
2

(45
)
Exchange differences and other

84

(40
)
PVIF at 31 Dec

6,610

6,502

1
‘Expected return’ represents the unwinding of the discount rate and reversal of expected cash flows for the period.
2
Relates to the Brazilian insurance operations which were classified as held for sale in 2015.
Assumption changes and experience variances
Included within this line item are:
$(98)m (2016: $279m), directly offsetting regulatory-driven changes to the valuation of liabilities under insurance contracts.
$(141)m (2016: $301m), reflecting the future expected sharing of returns with policyholders on contracts with discretionary participation features (‘DPF’), to the extent this sharing is not already included in liabilities under insurance contracts.
$(41)m (2016: $(67)m), driven by other assumptions changes and experience variances.
Key assumptions used in the computation of PVIF for main life insurance operations
Economic assumptions are set in a way that is consistent with observable market values. The valuation of PVIF is sensitive to observed market movements and the impact of such changes is included in the sensitivities presented below.

2017
2016

Hong Kong
France1
Hong Kong
France1

%
%
%
%
Weighted average risk-free rate
2.02
1.50
2.09
0.99
Weighted average risk discount rate
6.20
2.20
6.34
1.84
Expense inflation
3.00
1.48
3.00
1.66
1
For 2017, the calculation of France’s PVIF assumes a risk discount rate of 2.20% (2016: 1.84%) plus a risk margin of $80m (2016: $101m).
Sensitivity to changes in economic assumptions
The Group sets the risk discount rate applied to the PVIF calculation by starting from a risk-free rate curve and adding explicit allowances for risks not reflected in the best estimate cash flow modelling. Where the insurance operations provide options and guarantees to policyholders the cost of these options and guarantees is an explicit reduction to PVIF, unless it is already allowed for as an explicit addition to the technical provisions required by regulators. See page 160 for further details of these guarantees and the impact of changes in economic assumptions on our insurance manufacturing subsidiaries.
Sensitivity to changes in non-economic assumptions
Policyholder liabilities and PVIF are determined by reference to non-economic assumptions including mortality and/or morbidity, lapse rates and expense rates. See page 161 for further details on the impact of changes in non-economic assumptions on our insurance manufacturing operations.