Interpretation of selected key findings
Financial impact
Compared to Solvency I, in 30% of companies eligible own funds would increase by more than 50%, whereas in 34% eligible own funds would decrease by more than 50%.1 Furthermore, 15.7% of companies would need additional capital to meet their SCR (cf. Table 2).
|
|
Life
|
Non-life
|
Composite
|
Total
|
|
Large
|
18.3 |
23.7 |
7.3 |
17.5 |
|
Medium
|
12.4 |
20.0 |
7.1 |
15.3 |
|
Small
|
10.9 |
18.0 |
13.2 |
15.4 |
|
Total
|
13.1 |
19.5 |
8.7 |
15^.7 |
Table 2: Percentage of firms with additional capital needs to meet SCR
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Interestingly, large life companies appear to have more difficulty meeting the SCR than smaller ones (some supervisors particularly expect smaller monoline non-life undertakings to be more likely to raise additional capital).
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Compared to Solvency I, both life and non-life companies show a decrease in their solvency ratios based on the QIS3 calculations.
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MCR was met by most participants under the approaches tested. However, especially for life companies, the MCR approaches tested provided outcomes that seemed to be inconsistent with the SCR calibration.
Composition of the SCR
One of the most important insights provided by QIS3 is the composition of the SCR. Based on this analysis, companies are able to investigate the risk drivers in their portfolios. Though calibration is not yet finalised, interesting aspects can already be observed by analysing the composition of the SCR.
Figure 2: Composition of basic SCR (top graph: life; bottom graph: non-life); each bar displays the average outcomes of participants in all countries, totaling 100%. Diversification effects are explicitly displayed.
Figure 2 shows that market risk is generally the most significant risk for life insurers, whereas underwriting risk dominates the overall risk exposure for non-life undertakings. There can also be significant differences from one jurisdiction to another. The CEIOPS study also provides a further drill-down into sub-risk categories.
Comparison with internal models
For the first time in the QIS exercises, internal model results were requested in QIS3. 13% of all participants provided figures for this analysis.
For the life insurance companies, the internal models produced on average a total SCR about 15% lower than with the standard approach, but the ratio of internal model SCR to standard formula SCR varies considerably between companies. The internal models of non-life insurers produce SCRs on average 25% lower than with the standard formula, largely due to differences relating to non-life underwriting risk.
For life and non-life insurers the internal models produce on average somewhat lower capital requirements for the market risk component.
The capital requirement for the credit risk component in internal models is far higher (although it has only a subordinate effect on the SCR).
The internal models especially of non-life insurers also produce much higher capital requirements for the operational risk component. Company feedback indicates that it is difficult to depict the effect of reinsurance appropriately in standard factor-based approaches.
1 It should be noted that Solvency I and QIS3 use different definitions of eligible own funds. Internal models may use a third definition of eligible capital.
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