Report of the directors financial review risk report |
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Report Of The Directors Financial Review Risk Report [Abstract] | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Report Of The Directors Financial Review Risk Report | Summary of credit risk The following disclosure presents the gross carrying/nominal amount of financial instruments to which the impairment requirements in IFRS 9 are applied and the associated allowance for ECL. The following tables analyse loans by industry sector and represent the concentration of exposures on which credit risk is managed.
1The total ECL is recognised in the loss allowance for the financial asset unless the total ECL exceeds the gross carrying amount of the financial asset, in which case the ECL is recognised as a provision. 2Includes only those financial instruments that are subject to the impairment requirements of IFRS 9. ‘Prepayments, accrued income and other assets’ as presented within the consolidated balance sheet on page 31 comprises both financial and non-financial assets, including cash collateral and settlement accounts. 3Excludes performance guarantee contracts to which the impairment requirements in IFRS 9 are not applied. 4Represents the maximum amount at risk should the contracts be fully drawn upon and clients default. 5Debt instruments measured at FVOCI continue to be measured at fair value with the allowance for ECL as a memorandum item. Change in ECL is recognised in ‘Change for expected credit losses and other credit impairment charges’ in the income statement.
1Represents the maximum amount at risk should the contracts be fully drawn upon and clients default. 2Purchased or originated credit impaired (‘POCI‘).
1Up-to-date accounts in stage 2 are not shown in amounts presented above. 2The days past due amounts are presented on a contractual basis.
1Excludes performance guarantee contracts to which the impairment requirements in IFRS 9 are not applied. 2Represents the maximum amount at risk should the contracts be fully drawn upon and clients default.
1Up-to-date accounts in stage 2 are not shown in amounts presented above. 2The days past due amounts presented above are on a contractual basis. Assets held for saleAt 30 June 2025, the most material balance of loans and advances held for sale came from our custody business in Germany. ‘Loans and other credit-related commitments’ and ‘financial guarantees’, as reported in credit disclosures, also include exposures and allowances relating to financial assets classified as ‘assets held for sale’.
At 30 June 2025, gross loans and advances classified as ‘Assets held for sale’ were £1,575m and the related impairment allowances for ECL were £3m. Lending balances held for sale continue to be measured at amortised cost less allowances for impairment and, therefore, such carrying amounts may differ from fair value. These lending balances are part of associated disposal groups that are measured in their entirety at the lower of carrying amount and fair value less costs to sell. Any difference between the carrying amount of these assets and their sales price is part of the overall gain or loss on the associated disposal group as a whole. uFor further details of the carrying amount and the fair value at 30 June 2025 of loans and advances to banks and customers classified as held for sale, see Note 11 on the interim condensed consolidated financial statements. Measurement uncertainty and sensitivity analysis of ECL estimatesThe recognition and measurement of ECL involves the use of significant judgement and estimation. We form multiple scenarios based on economic forecasts and distributional estimates and apply these to credit risk models to estimate future credit losses. The results are then probability-weighted to determine an unbiased ECL estimate. Management assessed the current economic environment, reviewed the latest economic forecasts and discussed key risks before selecting the economic scenarios and their weightings. Management judgemental adjustments are used where modelled allowance for ECL does not fully reflect the identified risks and related uncertainty, or to capture significant late-breaking events. Methodology At 30 June 2025, four scenarios were used to capture the latest economic expectations and to articulate management’s view of the range of risks and potential outcomes. Scenarios are updated with the latest economic forecasts and distributional estimates in each quarter. Three scenarios, the Upside, Central and Downside, are drawn from external consensus forecasts, market data and distributional estimates of the entire range of economic outcomes. Consensus estimates are deployed as conditioning variables in a proprietary expansion of the scenario variables. The fourth scenario, the Downside 2, represents management’s view of severe downside risks. The consensus Central scenario is deemed the ‘most likely’ scenario, and usually attracts the largest probability weighting. The consensus outer scenarios represent short-term cyclical deviations from the Central scenario, where variable paths converge back to long-term trend expectations. They are calibrated to a 10% probability. The Downside 2 scenario is narrative-driven and explores a more extreme economic outcome than those captured by the consensus scenarios. In this scenario variables do not, by design, revert to long- term trend expectations and may instead explore alternative states of equilibrium, where economic variables move permanently away from past trends. It is calibrated to a 5% probability. This weighting scheme is deemed appropriate for the unbiased estimation of ECL in most circumstances. However, management may depart from this probability-based scenario weighting approach when the economic outlook and forecasts are determined to be particularly uncertain and risks are elevated. Management assessed that risk and uncertainty around the Central scenario projection remained elevated in the first half of the year 2025 and scenario weights were adjusted. Weight was reassigned from the Central scenario to the consensus Downside scenario. In the first half of the year 2025, outer scenarios for most markets have been configured as demand shocks. To the downside, the crystallisation of economic risks causes consumption and investment to fall sharply and commodity prices to decline. Inflation is lower relative to the Central scenario in most markets. In the upside scenario, robust economic growth drives investment and consumption higher, causing a temporary acceleration of inflation. Scenarios produced to calculate ECL are aligned to HSBC’s top and emerging risks. Description of economic scenarios The economic assumptions presented in this section are formed by HSBC with reference to external forecasts and estimates for the purpose of calculating ECL. Forecasts may change and remain subject to uncertainty. Outer scenarios are designed to capture potential crystallisation of key economic and financial risks and alternative paths for economic variables. The scenarios used to calculate ECL are described below. The consensus Central scenario HSBC’s Central scenario incorporates an expectation of slower global growth across many of our key markets in 2025-2026, relative to the fourth quarter of 2024. The deterioration reflects the anticipated effect of greater policy uncertainty and higher US tariff rates on trade, investment and employment. The scenario is consistent with the tariff rate, measured as an effective trade-weighted average, of 13.7% in 2025 and 8.6% in 2026. In the UK, household and business confidence has weakened amid high policy uncertainty and restrictive interest rates. In Europe, manufacturing remains in a protracted downturn, and trade policy uncertainty is also weighing on sentiment. Planned increases in fiscal spending to support tax cuts, welfare spending and defence are expected to deliver only incremental additional growth, spread out over several years. Global GDP is expected to grow by 2.3% in 2025 in the Central scenario and the average rate of global GDP growth is forecast to be 2.5% over the entire forecast period. The key features of our Central scenario are: –GDP growth rates in most of our main markets are expected to slow in 2025 compared with 2024, with only moderate recovery expected in 2026. –Consistent with weaker expected growth, unemployment is forecast to rise moderately in 2025, but remain low by historical standards. –The expected evolution of inflation is more mixed by market. In the UK, it is set to remain above target through 2025 and 2026. Changes to utility prices and employer taxes and wage costs are seen as the main driver of higher inflation in the UK. –Challenging conditions are also forecast to continue in certain segments of the commercial property sector in a number of our key markets. Structural changes to demand in the office segment in particular are driving lower valuations. –Policy interest rates in key markets are forecast to gradually decline in 2025 and 2026. In the longer term, they are expected to remain at a higher level than in the pre-pandemic period. –The Brent crude oil price is forecast to average around $65 per barrel over the forecast period. The Central scenario was created from consensus forecasts available in May, and reviewed continually until the end of June 2025. The following table describes key macroeconomic variables in the consensus Central scenario.
1The five-year average is calculated over the 20 quarter projection.
1The five-year average is calculated over the 20 quarter projection. The graphs compare the respective Central scenario with current economic expectations beginning in the first half of the year 2025. GDP growth: Comparison of Central scenarios
![]() Note: Real GDP shown as year-on-year percentage change.
![]() Note: Real GDP shown as year-on-year percentage change. The consensus Upside scenario Compared to the Central scenario, the consensus Upside scenario features stronger economic activity in the near term, before converging to long-run trend expectations. It also incorporates lower unemployment and higher asset prices than incorporated in the Central scenario. The scenario is consistent with a number of key upside risk themes. These include a rollback of tariff measures, deregulation, a de- escalation in geopolitical tensions as the Russia-Ukraine war moves quickly towards a conclusion and the conflict in the Middle East subsides, and an improvement in the US-China relationship. The following table describes key macroeconomic variables in the consensus Upside scenario.
1Cumulative change to the highest level of the series during the 20-quarter projection. 2Lowest projected unemployment in the scenario. 3Highest/lowest projected policy rate and year-on-year percentage change in inflation in the scenario. Downside scenarios Downside scenarios explore the intensification and crystallisation of a number of key economic and financial risks. The scenarios are modelled so that economic shocks drive consumption and investment lower and commodity prices fall. The nature of the shock varies with the evolution of the risk profile of each country. Key downside risks include: –an increase in protectionist policies, as countries that impose tariffs are met with countermeasures. This lowers investment, complicates international supply chains and reduces trade flows; –a broader and more prolonged conflict in the Middle East and the Russia-Ukraine war, which undermine confidence and investment; and –continued differences between the US and China, which affects economic confidence, and the global goods trade and supply chains for critical technologies. The consensus Downside scenario In the consensus Downside scenario, economic activity is weaker compared with the Central scenario and the impact of tariffs on the global economy is worse than expected. The scenario is consistent with the tariff rate, measured as an effective trade-weighted average, rising to 27.6% in 2025, remaining at that level in 2026. In this scenario, GDP declines, rates of unemployment rise and asset prices fall. The scenario features an increase in tariffs over and above those assumed in the Central scenario and an escalation of geopolitical tensions. In most markets, inflation declines relative to the Central scenario, as tariffs are assumed to drive a drop in US import demand. Rising unemployment and falling commodity prices are also calibrated so that they weigh on activity. The following table describes key macroeconomic variables in the consensus Downside scenario.
1Cumulative change to the lowest level of the series during the 20-quarter projection. 2The highest projected unemployment in the scenario. 3Due to the calibration of inflation and interest rates in 2Q25, the table shows lowest year-on-year percentage change in inflation and projected policy rates as at 2Q25, and the highest rates as at 4Q24. Downside 2 scenario The Downside 2 scenario features a deep global recession and reflects management’s view of the tail of the economic distribution. The narrative incorporates the crystallisation of a number of risks simultaneously, including significant increases in tariffs and a further escalation of geopolitical crises globally. The scenario is consistent with the tariff rate, measured as an effective trade-weighted average, rising to 31.6% in 2025, remaining at that level in 2026. In this scenario, confidence and asset prices fall sharply. The subsequent drop in demand leads to a steep fall in commodity prices, and a rapid increase in unemployment. The following table describes key macroeconomic variables in the Downside 2 scenario.
1Cumulative change to the lowest level of the series during the 20-quarter projection. 2The highest projected unemployment in the scenario. 3Due to the calibration of inflation and interest rates in 2Q25, the table shows lowest year-on-year percentage change in inflation and projected policy rates as at 2Q25, and the highest rates as at 4Q24. Scenario weightings Scenario weightings are calibrated to probabilities that are determined with reference to consensus forecast probability distributions. Management may then choose to vary weights if they assess that the calibration lags more recent events, or does not reflect their view of the distribution of economic and geopolitical risk. Management’s view of the scenarios and the probability distribution takes into consideration the relationship of the consensus scenario for both internal and external assessments of risk. In the first half of the year 2025, key considerations around uncertainty attached to the Central scenario projections focused on: –US import tariffs and bilateral tariff escalations globally. Discussion noted the impact on trade and manufacturing supply chains and the uncertainty attached to tariff rate assumptions; –the outlook for real estate in our key markets, particularly in the UK; –some reduction in estimation and forecast uncertainty for UK unemployment given ongoing methodology updates at the Office for National Statistics; and –geopolitical risks, including those arising from the conflict in the Middle East and the Russia-Ukraine war. For the first half of the year 2025, scenario weights were adjusted to the downside to reflect greater risk and uncertainty around the Central scenario projection. Management assessed that the change was appropriate given elevated market measures of volatility and policy uncertainty. As a consequence, the consensus Central scenario for all key markets was assigned a weight of 65%, down from 75% at 31 December 2024. The weight assigned to the consensus Upside scenario was left unchanged at 10%. The remaining 25% was assigned to the two Downside scenarios. The consensus Downside scenario received a weight of 20%, up from 10% at 31 December 2024. The weight assigned to the Downside 2 scenario was left unchanged at 5%. In light of the Israel-Iran conflict in the Middle East during June 2025, management monitored developments and assessed potential implications. Given the limited lasting consequences for global markets, including oil, and the swift subsequent de-escalation, no additional action was deemed necessary for economic scenarios or weights. The following table describes the probabilities assigned in each scenario.
The following graphs show the historical and forecasted GDP growth rate for the various economic scenarios in the UK and France.
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![]() Note: Real GDP shown as year-on-year percentage change. Critical estimates and judgements The calculation of ECL under IFRS 9 involved significant judgements, assumptions and estimates at 30 June 2025. These included: –the selection and configuration of economic scenarios, given the constant change in economic conditions and distribution of economic risks; and –estimating the economic effects of those scenarios on ECL, where similar observable historical conditions cannot be captured by the credit risk models. How economic scenarios are reflected in ECL calculations The methodologies for the application of forward economic guidance into the calculation of ECL for wholesale and retail portfolios are set out on page 47 of the Annual Report and Accounts 2024. Models are used to reflect economic scenarios in ECL estimates. These models are based largely on historical observations and correlations with default. Economic forecasts and ECL model responses to these forecasts are subject to a degree of uncertainty. The models continue to be supplemented by management judgemental adjustments where required. Management judgemental adjustments The management judgemental adjustments in relation to ECL allowance are detailed on page 47 of the Annual Report and Accounts 2024.
1Management judgemental adjustments presented in the table reflect increases or (decreases) in allowance for ECL, respectively. 2The wholesale portfolio corresponds to adjustments to the performing portfolio (stage 1 and stage 2). 3(A) refers to probability-weighted allowance for ECL before any adjustments are applied. 4(B) refers to adjustments that are applied where management believes allowance for ECL does not sufficiently reflect the credit risk/expected credit loses of any given portfolio at the reporting date. These can relate to risks or uncertainties that are not reflected in the model and/or to any late- breaking events. 5(C) refers to adjustments to allowance for ECL made to address process limitations and data/model deficiencies and can also include, where appropriate, the impact of new models where governance has sufficiently progressed to allow an accurate estimate of ECL allowance to be incorporated into the total reported ECL. 6As presented within our internal credit risk governance (see page 31 of the Annual Report and Accounts 2024). At 30 June 2025, wholesale management judgemental adjustments were an increase to allowance for ECL of £60m (31 December 2024: £12m increase). Corporate lending adjustments were made to reflect heightened uncertainty to exposures in automotive and industrial sectors in Germany, additionally an overlay was applied in UK to better align ECL to recent portfolio performance. Other credit judgements increase was largely due to adjustments applied to France and Germany to better align Loss Given Default (‘LGD’) model outputs to historical portfolio performance. At 30 June 2025, retail management judgemental adjustments were an increase to allowance for ECL £11m (31 December 2024: £9m increase). Other adjustments were £6m increase to allowance for ECL as of 30 June 2025 (31 December 2024: £15m decrease). These adjustments are due to model limitations and country-specific risks related to future macroeconomic conditions not fully captured by the modelled output. Economic scenarios sensitivity analysis of ECL estimates The economic scenarios sensitivity analysis of ECL estimates is detailed on page 48 of the Annual Report and Accounts 2024. Wholesale and retail sensitivity The wholesale and retail sensitivity tables present the 100%- weighted results. These exclude portfolios held by the insurance business, private banking and small portfolios, and as such cannot be directly compared with personal and wholesale lending presented in other credit risk tables. In both the wholesale and retail analysis, the comparative period results for Downside 2 scenarios are also not directly comparable with the current period, because they reflect different risks relative to the consensus scenarios for the period end. The wholesale and retail sensitivity analysis is stated inclusive of management judgemental adjustments, as appropriate to each scenario. For both retail and wholesale portfolios, the gross carrying amount of financial instruments is the same under each scenario. For exposures with similar risk profile and product characteristics, the sensitivity impact is therefore largely the result of changes in macroeconomic assumptions.
1Allowance for ECL sensitivity includes off-balance sheet financial instruments. These are subject to significant measurement uncertainty. 2Includes low credit-risk financial instruments such as debt instruments at FVOCI, which have high carrying amounts but low ECL under all the above scenarios. 3Excludes defaulted obligors. 4Allowance for ECL sensitivities exclude portfolios utilising less complex modelling approaches. Compared with 31 December 2024, the Downside 2 ECL impact decreased, mostly in the UK due to new PD models. These models include a recent calibration of credit risk experience under a higher interest rate environment, and result in a reduction of sensitivity to severe stress under similar conditions. Reconciliation of changes in gross carrying/nominal amount and allowances for loans and advances to banks and customers including loan commitments and financial guarantees The following disclosure provides a reconciliation by stage of the group’s gross carrying/nominal amount and allowances for loans and advances to banks and customers, including loan commitments and financial guarantees. Movements are calculated on a quarterly basis and therefore fully capture stage movements between quarters. If movements were calculated on a year-to-date basis they would only reflect the opening and closing position of the financial instrument. The transfers of financial instruments represent the impact of stage transfers upon the gross carrying/nominal amount and associated allowance for ECL. The net remeasurement of ECL arising from stage transfers represents the increase or decrease due to these transfers, for example, moving from a 12-month (stage 1) to a lifetime (stage 2) ECL measurement basis. Net remeasurement excludes the underlying CRR/PD movements of the financial instruments transferring stage. This is captured, along with other credit quality movements in the ‘changes in risk parameters – credit quality’ line item. Changes in ‘Net new and further lending/repayments’ represent the impact from volume movements within the group’s lending portfolio and include ‘New financial assets originated or purchased’, ‘assets derecognised (including final repayments)’ and ‘changes to risk parameters – further lending/repayment’.
1Excludes performance guarantee contracts to which the impairment requirements in IFRS 9 are not applied. 2Includes the period on period movement in exposures relating to other HSBC Group companies. At 30 June 2025, this amount increased by £2.1bn and was classified as stage 1 with no ECL. 3Total includes £0.7bn of gross carrying loans and advances to customers and banks, which were classified to assets held for sale, reflecting business disposals as disclosed in Note 11: ‘Assets held for sale and liabilities of disposal groups held for sale’ on page 48. 4This includes £5.6bn of gross carrying loans and advances to customers and corresponding allowance for ECL of £6m in relation to France retail portfolio of home and certain other loans, which were classified to assets held for sale in 1H25, reflecting business disposals as disclosed in Note 11: ‘Assets held for sale
1Excludes performance guarantee contracts to which the impairment requirements in IFRS 9 are not applied. 2Includes the period on period movement in exposures relating to other HSBC Group companies. At 31 December 2024, these amounted to £0.77bn and were classified as stage 1 with no ECL.
*These are references to lines prescribed in the Pillar 3 ‘Own funds disclosure’ template. Trading portfoliosValue at risk of the trading portfolios The Trading VaR predominantly resides within Market Securities Services where it stood at £19.4m as at 30 June 2025, compared with £21.8m at 31 December 2024. The Trading VaR was driven by the market making activity in developed and emerging market on rates, FX, equities and credit products. The Total Trading VaR peaked at £32.3m in June 2025 following increased market making activities on rates and FX products. The Trading VaR subsequently decreased from the peak level and remained fairly stable. The trading VaR for the half-year to 30 June 2025 is shown in the table below.
1Portfolio diversification is the market risk dispersion effect of holding a portfolio containing different risk types. It represents the reduction in unsystematic market risk that occurs when combining a number of different risk types, for example, interest rate, equity and foreign exchange, together in one portfolio. It is measured as the difference between the sum of the VaR by individual risk type and the combined total VaR. A negative number represents the benefit of portfolio diversification. As the maximum occurs on different days for different risk types, it is not meaningful to calculate a portfolio diversification benefit for this measure. 2The Total VaR is non-additive across risk types due to diversification effect and it includes “Risks Not in VaR” (“RNIV”) add-ons. Non-trading portfoliosValue at risk of the non-trading portfolios Non-trading portfolios comprise of positions that primarily arise from the interest rate management of our retail and wholesale banking assets and liabilities, financial investments measured at fair value through other comprehensive income (‘FVOCI’) or at amortised cost. A summary of the methodology for our VaR of non-trading portfolios can be found on page 75 of our Annual Report and Accounts 2024. Insurance operations were excluded from non-trading VaR as of 30 June 2025, which resulted in an immaterial impact. market risk impact of insurance operations on page 92 of the Annual Report and Accounts 2024. The non-trading 10d VaR in the half year to 30 June 2025 was driven by interest rate risk in the banking book arising from Markets Treasury positions. The non-trading VaR remained stable at £124m at 30 June 2025, compared with £134m at 31 December 2024, with the minimal variation in VaR over this period driven by the duration risk associated with Markets Treasury positioning in response to changing rate expectations. The non-trading VaR for the half-year to 30 June 2025 is shown in the table below.
1Portfolio diversification is the market risk dispersion effect of holding a portfolio containing different risk types. It represents the reduction in unsystematic market risk that occurs when combining a number of different risk types, for example, interest rate, equity and foreign exchange, together in one portfolio. It is measured as the difference between the sum of the VaR by individual risk type and the combined total VaR. A negative number represents the benefit of portfolio diversification. As the maximum occurs on different days for different risk types, it is not meaningful to calculate a portfolio diversification benefit for this measure. 2The total VaR is non-additive across risk types due to diversification effect. The following table shows the composition of assets and liabilities by contract type.
1‘Life direct participating and investment DPF’ contracts are substantially measured under the variable fee approach measurement model. 2‘Life other’ mainly includes protection type contracts as well as reinsurance contracts. The reinsurance contracts primarily provide diversification benefits over the life participating and investment discretionary participation feature ('DPF') contracts. 3‘Other contracts’ includes investment contracts for which HSBC does not bear significant insurance risk. 4‘Other financial assets’ comprise mainly loans and advances to banks, cash and inter-company balances with other non-insurance legal entities. 5‘Other assets and investment properties’ includes £20,338m (31 December 2024: £19,309m) and ‘Other liabilities’ includes £19,606m (31 December 2024: £18,668m) in respect of the classification of the French life insurance business to held for sale. Further details are provided on page 48.
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