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The Insurance Risk Dashboard, based on Solvency II data, summarises the main risks and vulnerabilities in the European Union’s insurance sector through a set of risk indicators. The data is based on financial stability and prudential reporting collected from insurance groups and solo insurance undertakings.


October 2026 Insurance Risk Dashboard

The reference date for company data is Q2-2026 for quarterly indicators and 2025-YE for annual indicators. The cut-off date for most market indicators is the end of September 2026. The Level (color) corresponds to the level of risk as of the reference date, the Trend is displayed for the 3 months preceding the reference date and the Outlook is displayed for the 12 months after the reference date. The latter is based on the responses received from 23 national competent authorities (NCAs) and ranked according to the expected change in the materiality of each risk (substantial decrease, decrease, unchanged, increase and substantial increase).





Key Observations





Macro Risks

Macroeconomic risks remain stable at a medium level, with an increasing outlook. GDP growth projections across major geographical regions have slightly improved from 1% to 1.3% over the next four quarters, while global inflation forecasts remained unchanged at 2.9%. The weighted average of 10-year swap rates for key currencies increased from 3.2% to 3.8%. In parallel, policy rates remained around 3% in Q2 2026. The latest available data on fiscal balances for major economies point to -3.4% of GDP in Q1 2026, while the credit-to-GDP gap narrowed slightly to -16.4% in Q1 2026. Unemployment rates hovered around 5.8%, based on the most recent data from Q2 2026. Looking ahead, uncertainty remains elevated and risks are tilted to the downside.



Note: Average of forecasts four quarters ahead, weighted average for Euro area, United Kingdom, Switzerland, United States, BRICS.
Source: Bloomberg Finance L.P.

Note: Weighted average for EU, UK, Switzerland, United States, China.
Source: LSEG Data & Analytics

Note: Weighted average for EU, UK and United States.
Source: LSEG Data & Analytics

Note: Average of forecasts four quarters ahead, weighted average for Euro area, United Kingdom, Switzerland, United States, BRICS.
Source: Bloomberg Finance L.P.

Note: Weighted average for EUR, GBP, CHF, USD.
Source: LSEG Data & Analytics

Note: Weighted average for Euro area, United Kingdom, Switzerland, United States, China.
Source: BIS

Note: Weighted average for Euro area, United Kingdom, Switzerland, United States.
Source: Bloomberg Finance L.P.

Credit Risks

Credit risks remain steady at a medium level, with a stable outlook. As of the end of September 2026, overall credit default swap (CDS) spreads have slightly increased, except for spread of financial secured bonds. In Q2 2026, insurers’ median exposures to government (excluding exposures via collective investment undertakings) and financial secured bonds (excluding exposures via collective investment undertakings) remain broadly unchanged, while their median exposure to financial unsecured bonds (excluding exposures via collective investment undertakings) slightly decreased and to non financial bonds (excluding exposures via collective investment undertakings) slightly increased. As of Q2 2026, insurers’ median investment allocations as a share of total assets were around 25.9% in government bonds, 1.2% in secured financial bonds, 8.6% in unsecured financial bonds, 9.4% in non-financial bonds. The indicator of fundamental credit risk in the non-financial corporate sector was broadly unchanged. Insurers’ exposure to mortgages and loans to individuals remains at around 0.3%, and the household debt-to-income ratio in the euro area slightly decreased from 82.4% to 80.9%, based on Q1 2026 data. Overall, the average credit quality of insurers’ investments remains high, with the median credit quality step (CQS) at around 2, equivalent to an AA rating from S&P. The median share of low-rated investments (CQS > 3) stood at around 1.4% in Q2 2026. Going forward, potential further spread increase, debt financing costs and private credit quality remain under monitoring.



Note: Left scale shows the distribution of exposures (inter-quartile range and median), right scale the risk measure. The CDS indicator has been updated in the first quarter 2026 due to the dismissal of the previous one.
Source: LSEG Data & Analytics, QFG

Note: Left scale shows the distribution of exposures (inter-quartile range and median), right scale the risk measure.
Source: LSEG Data & Analytics, QFG

Note: Left scale shows the distribution of exposures (inter-quartile range and median)
Source: QFG

Note: Left scale shows the distribution of exposures (inter-quartile range and median)
Source: QFG

Note: Left scale shows the distribution of exposures (inter-quartile range and median), right scale the risk measure.
Source: QFG, ECB

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median). Includes both internal and external credit ratings.
Source: QFG

Note: Spread of non-financial corporate bonds based on a 12-quarter rolling window.
Source: BIS

Market Risks

Market risks remain high, with an increasing outlook. By end-September, bond market volatility increased while equity volatility remained unchanged compared to the previous assessment. Insurers’ median exposure to bonds (excluding exposures via collective investment undertakings) stood at 49.7% of total assets, and their median exposure to equities and participations (excluding exposures via collective investment undertakings) at 6% in Q2 2026. Residential property prices decreased according to the latest data (Q4 2025) while insurers’ median investment in property continue to be limited overall, at 2.8% of total assets in Q2 2026. The median spread of investment returns over guaranteed interest rates decreased, while the duration mismatch was unchanged at the end of 2025. Asset concentration, as measured by the Herfindahl-Hirschman Index, remains stable. Looking ahead, supervisors continue to flag the risk of a broader market correction, while it is still uncertain whether renewed geopolitical tensions will trigger a repricing of risk premia.



Note: Left scale shows the distribution of exposures (inter-quartile range and median)
Source: QFG

Note: Left scale shows the distribution of exposures (inter-quartile range and median), right scale the risk measure.
Source: Bloomberg Finance L.P., QFG

Note: Left scale shows the distribution of exposures (inter-quartile range and median), right scale the risk measure. The growth of real estate prices is based on a weighted average of commercial and residential real estate prices.
Source: QFG, ECB

Note: Distribution of indicator (interquartile range, median). The numerator of the investment return ratio excludes Solvency II reported unrealised gains and losses.
Source: ARS

Note: Herfindahl Hirschman index computed on six balance sheet asset classes (government bonds, corporate bonds, equities, property, cash and cash equivalents and loans and mortgages). Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median). EIOPA calculates the indicator based on the modified duration of the assets and the liabilities.
Source: Assets: QFG, Liabilities: AFG

Liquidity & Funding

Liquidity and funding risks are at a medium level. In Q2 2026, insurers’ median cash holdings stayed broadly unchanged, around 0.7% of total assets, and the median share of liquid assets was at 46% of total assets. Funding conditions were particularly favourable. Bond issuance volumes were approximately three times higher in Q2-2026 than in the previous quarter then dropped to 7.3 bn. EUR in Q3-2026. In the catastrophe bond market, issuance volumes in Q2 2026 increased compared to those in Q2 2025. All other annual indicators remain broadly unchanged.



Note: Distribution of indicator (interquartile range, median).
Source: QRS

Note: Distribution of indicator (interquartile range, median).
Source: QRS

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median).
Source: ARS

Note: Distribution of indicator (interquartile range, median).
Source: ARS

Note: Volume in EUR mn.
Source: Bloomberg Finance L.P.

Note: Volumes in USD mn, spread in per cent.
Source: http://artemis.bm

Profitability & solvency

Solvency and profitability risks remain stable at a medium level. In Q2 2026, the median solvency ratio increased for insurance groups to 217.6% and non-life insurers at 221.4%, while it remains broadly stable for life insurers at 247%. The median ratio of Tier 1 own funds to total own funds remains at around 86%. In terms of profitability, the median non-life combined ratio deteriorated slightly to 95.6%, while the asset-to-liability ratio slightly decreased in Q2 2026. The return on excess of assets over liabilities together with the return on assets and the return on premiums increased, based on the latest available data.




Note: Distribution of indicator (interquartile range, median).
Source: QRS

Note: Distribution of indicator (interquartile range, median). The indicator excludes unrealised gains and losses. For information purposes, the median is also shown with the inclusion of unrealised gains and losses.
Source: ARS

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median). Q2 figures annualised.
Source: QFG and ARG

Note: Distribution of indicator (interquartile range, median). Q2 figures annualized.
Source: QFG and ARG

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median).
Source: QRS

Note: Distribution of indicator (interquartile range, median).
Source: QRS

Note: Distribution of indicator (interquartile range, median).
Source: ARS

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median). Starting from 2023 and following the adoption of the new taxonomy, the frequency of the indicator will be annual.
Source: QRS

Interlinkages & imbalances

Interlinkages and imbalances risks remain stable at a medium level. Insurers’ median exposure to banks remained around 13.3% while the median exposure to other financial activities increased to 23.7% of total assets. The median exposure to other insurers increased back to at 1.7% in Q2 2026 compared to Q1 2026. Insurers’ median exposure to domestic sovereign debt and derivatives also remain at around 6.8% and 0.2% of total assets, respectively. The median share of premiums ceded to reinsurers decreased to 4.6% in Q2 2026.



Note: Distribution of indicator (interquartile range, median). Banks comprise all activities identified with NACE code K.64.1.9.
Source: QFG

Note: Distribution of indicator (interquartile range, median). Insurances comprise all activities identified with NACE code K65, excluding K65.3.
Source: QFG

Note: Distribution of indicator (interquartile range, median). Other financial institutions comprise all activities identified with NACE codes K66, K65.3 and K64 excluding K64.1.9.
Source: QFG

Note: Distribution of indicator (interquartile range, median).
Source: QRS

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median). Derivatives holdings are calculated as the total value of derivatives from the balance sheet (i.e. both asset and liability values in absolute terms).
Source: QFG

Note: Distribution of indicator (interquartile range, median).
Source: QFG

Insurance Risks

Insurance risks decreased to low level. Year-on-year premium growth for life business remains strong but decrease to more sustainable level of growth, which is associated with a lower level of risk. Year-on-year median premium growth for non-life business was 4.0%, also remaining positive. The median loss ratio improved increasing to 61% in Q2 2026.



Note: Year-on-year change in gross written premiums. Distribution of indicator (interquartile range, median).
Source: QFG

Note: Year-on-year change in gross written premiums. Distribution of indicator (interquartile range, median).
Source: QFG

Note: Distribution of indicator (interquartile range, median).
Source: QRS

Market perceptions

Market perceptions remain at a medium level. Life and non-life insurance share price performance was broadly aligned with the market between end July and end September, with life stocks slightly outperforming. The median price-to-earnings ratio remained unchanged over the same period. The distribution of insurers’ CDS spreads increased, in line with a general increase in market spread in the third quarter. There were two positive changes in external rating outlooks for the insurance groups in the sample.



Note: Out-(under-)performance over 3-month periods vs Stoxx 600.
Source: LSEG Data & Analytics

Note: Distribution of indicator (interquartile range, median).
Source: LSEG Data & Analytics

Note: Distribution of indicator (interquartile range, median).
Source: LSEG Data & Analytics

Source: Standard & Poor’s via LSEG Data & Analytics

Source: Standard & Poor’s via LSEG Data & Analytics

Digitalisation & cyber risks

Digitalisation and cyber risks remained at high level with an increasing outlook, based on supervisory assessments. The materiality of these risks for the insurance sector, as assessed by supervisors, remained high in Q3 2026. The latest data on global cyberattacks and on cyber negative sentiment also showed an increase in the number of attacks in Q2 2026. In the current geopolitical context, cyber threats remain a significant concern, as insurers are not only exposed to operational risks but also face the growing challenge of underwriting cyber risks, which adds complexity to their risk-management strategies. Supervisors warn on systemic cyber risks posed by frontier AI model and urge financial entities to make the appropriate arrangements to adapt their cybersecurity capabilities also in line with requirements of DORA.



Note: Scores compiled based on the assessment of probability and impact (lhs: scale from 1 to 4) of digitalisation & cyber risks from National Competent Authorities. The country average for each answer is then normalised (rhs: scale 0-100).
Source: EIOPA’s Insurance Bottom-up Survey.

Note: Text analysis based indicator, calculated from earning calls transcripts from listed insurers.
Source: LSEG Data & Analytics, EIOPA calculations.

Note: Number of publicly disclosed global cyber attacks over time and changes.
Source: University of Maryland CISSM Cyber Events Database, EIOPA calculations.

APPENDIX





Arrows for the Trend show changes for the 3 months preceding the reference date, while arrows for the Outlook show expected developments for the next 12 months.

Description of risk categories

Macro risks

This category depicts developments in the macro-economic environment that could impact the insurance sector. This category is based on publicly available data on macro variables that may be used for broader macroprudential monitoring and analysis.

Credit risks

The category assesses the vulnerability of the insurance sector towards credit risks. To achieve this aim, credit-relevant asset class exposures of the insurers are combined with the relevant risk metrics applicable to these asset classes.

Market risks

The risk category depicts the main risks insurers are exposed to on financial markets. For most asset classes these risks are being assessed by analysing both the investment exposure of the insurance sector and an underlying risk metric. The exposures give a picture of the vulnerability of the sector to adverse developments; the risk metric, usually the volatility of the yields of the associated indices, gives a picture of the current level of riskiness.

Liquidity & funding risks

This category aims at assessing the vulnerability of the European insurance industry to liquidity shocks. The set of indicators encompasses the lapse rate of the life insurance sector with high lapse rate signaling a potential risk, holdings of cash & cash equivalents as a measure of the liquidity buffer available, and the issuance of catastrophe bonds, where a very low volume of issuance and/or high spreads signals a reduction in demand which could form a risk.

Profitability & solvency

The category scrutinizes the level of solvency and profitability of the European insurance industry. Both dimensions are analyzed for the overall industry (using group data) and include a breakdown for the life and non-life companies (using solo data). In detail, the solvency level is measured via solvency ratios and quality of own funds. Standard profitability measures for the whole industry are complemented by indicators such as the combined ratio and the return on investments specifically applied to the non-life and life industry respectively.

Interlinkages & imbalances

Under this section various kinds of interlinkages are assessed, both within the insurance sector, namely between primary insurers and reinsurers, between the insurance sector and the banking sector, as well as interlinkages created via derivative holdings. Exposure towards domestic sovereign debt is included as well.

Insurance (underwriting) risks

As indicators for insurance risks gross written premiums of both life and non-life business are an important input. Both significant expansion and contraction are taken as indicators of risks in the sector; the former due to concerns over sustainability and the latter as an indicator of widespread contraction of insurance markets.

Market perceptions

This category encompasses the financial markets’ perception of the healthiness and profitability of the European insurance sector. For this purpose, relative stock market performances of European insurance indices against the total market are assessed, as well as fundamental valuations of insurance stocks (price/earnings ratio), CDS spreads and external ratings/rating outlooks.

Digitalisation & cyber risks

This risk category aims to capture potential financial stability risks related to an increased digitalisation, which exposes the insurance sector to risks both from an operational resilience perspective (as insurers themselves can be targets of cyber-attacks) and from an underwriting perspective (related to the provision of cyber insurance products). The set of indicators encompasses the supervisors’ assessment of digitalization & cyber risks considering different aspects such as cyber security risks, cyber underwriting risks and Insurtech competition, the year-on–year change in the frequency of cyber incidents as reported in the Hackmageddon.com database and, finally, the negative sentiment of European insurers against cyber risk. This section will be further developed as new data becomes available.




 

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