2025-12-22

GFSC Guidance Note on Solvency 2 Technical Provisions and Internal Models for General Insurers

The Gibraltar Financial Services Commission issued this guidance to establish expectations for general insurers regarding the calculation of technical provisions and the use of internal models under Solvency 2. The document mandates that firms address events not in data, avoid optimistic assumptions, and ensure internal models accurately reflect specific risk profiles rather than relying on defaults or generic industry standards. It further requires consistency between technical provision methods and internal model forecasts, including proper handling of parameter uncertainty, reinsurance exhaustion, and third-party model validation.

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Version: 1 Publication Date: 22 December 2025 www.gfsc.gi GFSC Guidance Note Solvency 2: Calculation of technical provisions and the use of the internal models for general insurers

Gibraltar Financial Services Commission Guidance Note – Solvency 2: Calculation of technical provisions 2 and the use of internal models for general insurers Contents

  1. Introduction......................................................................................................................................... 3
  2. Technical Provisions............................................................................................................................. 3
  3. Internal Models.................................................................................................................................... 4

Gibraltar Financial Services Commission Guidance Note – Solvency 2: Calculation of technical provisions 3 and the use of internal models for general insurers

  1. Introduction 1.1. This Guidance Note is relevant to insurance undertakings1 and reinsurance undertakings2 with permission to effect or carry out contracts of non-life insurance under the Financial Services Act 2019. Such undertakings are collectively referred to as ‘general insurers’ or ‘firms’ throughout this Guidance Note. 1.2. This Guidance Note sets out the Gibraltar Financial Services Commission’s (‘GFSC’) expectations of firms in relation to the calculation of technical provisions and the requirements associated with internal models. It seeks to ensure that general insurers set an adequate level of technical provisions and hold sufficient capital. 1.3. Firms should read this Guidance Note in conjunction with the relevant parts of the Financial Services (Insurance Companies) Regulations 20203 (the ‘Insurance Companies Regulations’ and the Financial Services (Solvency 2)(Technical Standards) 4 (the ‘Solvency 2 Technical Standards’), and the GFSC Guidance Note – Solvency 2: Expectations for meeting the internal model requirements for insurers5 . Firms should also refer to the GFSC’s Policy Statement: Interpretation of EU Guidelines and Recommendations Following Gibraltar’s Withdrawal from the EU.
  2. Technical Provisions Realistic assumptions and adequate methods 2.1. Regulation 67(2) and (3) of the Insurance Companies Regulations require technical provisions to be calculated based upon up-to-date and credible information and realistic assumptions, using adequate, applicable and relevant actuarial and statistical methods. Risk margin 2.2. The GFSC considers the risk margin to be a significant part of the technical provisions calculation, so it is important that firms consider whether the methods used there are in fact adequate. This should include consideration of the underlying assumptions. 2.3. For example, firms should not approximate the future Solvency Capital Requirements used to calculate the risk margin as proportional to the projected best estimate unless this has been shown not to lead to a material misstatement of technical provisions. Events not in data 2.4. Many firms use reserving methods that project forwards from historical data. On its own, this is unlikely to satisfy the requirements as set out in the Insurance Companies Regulations and the Solvency 2 Technical Standards for a probability-weighted average of future cash-flows, 1 Financial Services (Insurance Companies) Regulations 2020, reg 3. 2 ibid. 3 Financial Services (Insurance Companies) Regulations 2020. 4 Financial Services (Solvency 2)(Technical Standards) 2025. 5 GFSC Guidance Note – Solvency 2: Expectations for meeting the internal model requirements for insurers.

Gibraltar Financial Services Commission Guidance Note – Solvency 2: Calculation of technical provisions 4 and the use of internal models for general insurers since not all possible future cash-flows — or the events that cause them — may be represented in the data. 2.5. Although these events are sometimes referred to as ‘binary events’ or ‘extreme events’, such terms suggest that events not found in the data are necessarily extreme or rare. This is not the case, so the GFSC prefers to use the term ‘events not in data’, or ‘ENID’. 2.6. Firms should take ENID into account when calculating technical provisions. Applying a simple percentage uplift without justification is not an adequate method. 2.7. Where outliers are removed from the data as part of the reserving process, this removes events from the data. Firms should make an allowance for this in the technical provisions calculation unless they have shown that it would not be possible for these, or similar, events to occur again in future. Premium provisions 2.8. Many firms use business plan loss ratios to set the level of premium provisions. Using optimistic business plan loss ratios for this purpose is not realistic, and will not produce a best estimate as required under Chapters 1 and 3 of Part 6 of the Insurance Companies Regulations and Chapters 2 and 3 of Part 1 of the Solvency 2 Technical Standards. Approximations 2.9. A number of firms have approximated an aspect of the technical provisions calculation on grounds of materiality. Where this is the case, firms should quantify the materiality. Where firms make a number of such approximations, their cumulative materiality should also be considered; it is not adequate simply to demonstrate that each aspect taken alone is immaterial. 2.10. For example, where firms have assumed that the impact of lapses on technical provisions is not material, they should quantify the materiality, and consider this together with the impact of other simplifying assumptions made. 3. Internal Models Events not in data 3.1. The concept of ENID also applies to the data used to set the parameters for the internal model, in line with regulation 109(3)-(4) of the Insurance Companies Regulations. Firms should not assume that parameterising the internal model using only historical data will take into account all quantifiable risks, unless an unadjusted distribution has been shown to capture the full range of possible future events, for example by way of stress and scenario testing. 3.2. For example, for liability lines, data sets covering recent years may not include sufficient examples of liability catastrophes, which can significantly increase the dependency between policies, and, as a result, the volatility. Parameterising the internal model using such a data set alone would omit the possibility of future liability catastrophes, failing to cover all material risks.

Gibraltar Financial Services Commission Guidance Note – Solvency 2: Calculation of technical provisions 5 and the use of internal models for general insurers Risks covered by third party models. 3.3. Where firms use third party models, firms should take particular care to demonstrate that the model covers all material risks in their own risk profile as stipulated under regulation 114 of the Insurance Companies Regulations. For example, where firms have used a third party model for earthquake exposure, they should ensure that the internal model also covers related risks, such as corresponding tsunami exposure. Consistency with technical provisions 3.4. Regulation 109(2) of the Insurance Companies Regulations requires the methods used in the internal model to be ‘consistent with the methods used to calculate technical provisions’. Technical provisions in the internal model 3.5. In order to calculate the movement in basic own funds over one year, the methods firms use to calculate the technical provisions should be consistent with the methods used to calculate the probability distribution forecast, in line regulation 109(2) of the Insurance Companies Regulations. When selecting a method for this purpose, firms should ensure that the method produces similar results to a full technical provisions calculation throughout the probability distribution forecast, and not just in benign circumstances. Uncertainty around parameters 3.6. Firms should allow for estimation error where this is material and it is practicable to do so, in line with regulation 109(2) of the Insurance Companies Regulations. 3.7. For example, where there is significant uncertainty around a sensitive parameter, so that the correct value could lie anywhere in a range, firms should seek to reflect the parameter uncertainty in their choice of parameter value unless they have otherwise quantified and allowed for this estimation error in the model. Calendar year effects 3.8. Calendar year effects, such as claims inflation, can have a significant impact on the volatility of future reserve development. Firms should only use methods that do not capture calendar year effects explicitly if they have shown that the resulting distribution appropriately reflects the volatility introduced by these effects, or if such volatility is captured elsewhere in the model. Improvements in performance 3.9. Firms should not assume an improvement in performance relative to that seen in the past unless such an improvement has been clearly justified, in line with regulation 109(2) of the Insurance Companies Regulations. For example, it would not be realistic to base the internal model on a business plan which assumes improved underwriting results unless the measures taken have been shown to be effective.

Gibraltar Financial Services Commission Guidance Note – Solvency 2: Calculation of technical provisions 6 and the use of internal models for general insurers One-year emergence of risk 3.10. Firms should not assume that insurance risk emerges simply according to a historical paid or incurred development pattern. Where firms use an emergence factor method (where one year risk is assumed to be a proportion of ultimate risk), firms should not base the emergence factor purely on the incurred or paid pattern, in line with regulation 109(2) of the Insurance Companies Regulations. 3.11. Where historical paid or incurred patterns are used in the model, firms should not assume that these will be repeated in future, unless the firm has shown that this is a realistic assumption throughout the probability distribution forecast. Industry standards 3.12. While, in line with regulation 110(4) of the Insurance Companies Regulations, firms should ensure that the internal model reflects progress in generally accepted market practice, assumptions cannot be justified solely on the grounds that they are ‘industry standard’ or ‘established good practice’. Firms should justify assumptions on the basis of their own specific risk profile. Default options 3.13. When justifying the assumptions underlying an external model, it is not sufficient to justify the assumptions on the grounds that they are selected by default. Firms should justify all assumptions on the basis of their own specific risk profile, in line with regulations 109(2) and 114(2) of the Insurance Companies Regulations. 3.14. For example, where a catastrophe model is set by default not to allow for clustering of storms, firms should demonstrate that this assumption is appropriate for their risk profile, and cannot justify this assumption on the grounds that it is selected by default. Data used 3.15. Any data that can have an impact on the outputs of the internal model should be considered to be ‘used for the internal model’, and must therefore be accurate, complete and appropriate, in line with regulation 109(3)-(4) of the Insurance Companies Regulations. For example, where a firm has material natural catastrophe risk, the exposure data input into the catastrophe model should be accurate, complete and appropriate. Reinsurance exhaustion 3.16. The most common risk mitigation technique is the modelling of purchased reinsurance. Where firms model reinsurance, they should allow for the possibility of reinsurance exhaustion in order to ensure that the risks arising from the risk mitigation techniques are properly reflected, in line with regulation 109(8) of the Insurance Companies Regulations.

Gibraltar Financial Services Commission Guidance Note – Solvency 2: Calculation of technical provisions 7 and the use of internal models for general insurers Renewal of reinsurance 3.17. Firms should treat the renewal of reinsurance in the model as a future management action unless it has been shown that the renewal will not rely on a decision made by the firm, in line with regulation 109(8) of the Insurance Companies Regulations. Specific validation 3.18. In order to review the ongoing appropriateness of the internal model, firms should perform validation that relates specifically to their own risk profile. For example, it is not satisfactory to review the appropriateness of a third party model purely on the basis of generic validation performed by the model vendor. Data from third party models 3.19. Firms often use data output from a third party model. Where the assumptions and methods the third party uses to produce the data could have a material impact on the outputs of the firm’s internal model, firms should demonstrate that the external model itself satisfies internal model requirements, and not the data alone, in line with regulation 114(1) of the Insurance Companies Regulations. 3.20. For example, where firms are provided with catastrophe risk event loss tables by a third party, internal model requirements should be applied to the model that produced the tables, and not to the tables alone.

Published by: Gibraltar Financial Services Commission PO Box 940 Suite 3, Ground Floor Atlantic Suites Europort Avenue Gibraltar www.gfsc.gi © 2025 Gibraltar Financial Services Commission