Answers to the European Commission on the ... - Eiopa - Europa
Answers to the European Commission on the ... - Eiopa - Europa
Answers to the European Commission on the ... - Eiopa - Europa
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whenever its effects <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> risk categories can be quantified. All o<str<strong>on</strong>g>the</str<strong>on</strong>g>r<br />
aspects of ALM systems and <str<strong>on</strong>g>the</str<strong>on</strong>g>ir role in risk management are left <str<strong>on</strong>g>to</str<strong>on</strong>g><br />
supervisory attenti<strong>on</strong> in Pillar II.<br />
10.135 Pillar II should verify <str<strong>on</strong>g>the</str<strong>on</strong>g> plausibility of <str<strong>on</strong>g>the</str<strong>on</strong>g> assumpti<strong>on</strong>s underlying an<br />
ALM system. It should check whe<str<strong>on</strong>g>the</str<strong>on</strong>g>r <str<strong>on</strong>g>the</str<strong>on</strong>g> ALM system is properly<br />
integrated with an undertaking's overall risk management and is used<br />
in <str<strong>on</strong>g>the</str<strong>on</strong>g> process of defining business strategies.<br />
Methodology for developing <str<strong>on</strong>g>the</str<strong>on</strong>g> standard formula<br />
10.136 The modelling approaches described below provide an outline of<br />
possible risk treatments under a 'bot<str<strong>on</strong>g>to</str<strong>on</strong>g>m-up' methodology. The advice<br />
given reflects a set of working hypo<str<strong>on</strong>g>the</str<strong>on</strong>g>ses that will be used <str<strong>on</strong>g>to</str<strong>on</strong>g> develop<br />
a standard formula for testing under QIS.<br />
10.137 In parallel, CEIOPS will perform '<str<strong>on</strong>g>to</str<strong>on</strong>g>p-down' analysis <str<strong>on</strong>g>to</str<strong>on</strong>g> test <str<strong>on</strong>g>the</str<strong>on</strong>g><br />
adequacy of its working hypo<str<strong>on</strong>g>the</str<strong>on</strong>g>ses. The analysis will check that<br />
material risk drivers are not overlooked. It will also c<strong>on</strong>sider implicit<br />
assumpti<strong>on</strong>s that underlie <str<strong>on</strong>g>the</str<strong>on</strong>g> way in which risk capital comp<strong>on</strong>ents<br />
are aggregated in<str<strong>on</strong>g>to</str<strong>on</strong>g> an overall requirement.<br />
Modelling approaches <str<strong>on</strong>g>to</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> main risk categories<br />
Risk dependencies<br />
10.138 Fur<str<strong>on</strong>g>the</str<strong>on</strong>g>r analysis is required <str<strong>on</strong>g>to</str<strong>on</strong>g> assess whe<str<strong>on</strong>g>the</str<strong>on</strong>g>r linear correlati<strong>on</strong>,<br />
<str<strong>on</strong>g>to</str<strong>on</strong>g>ge<str<strong>on</strong>g>the</str<strong>on</strong>g>r with a simplified form of tail correlati<strong>on</strong>, may be a suitable<br />
technique <str<strong>on</strong>g>to</str<strong>on</strong>g> aggregate capital requirements for different risks.<br />
10.139 However, if <str<strong>on</strong>g>the</str<strong>on</strong>g> c<strong>on</strong>cept of linear correlati<strong>on</strong> were <str<strong>on</strong>g>to</str<strong>on</strong>g> be adopted within<br />
<str<strong>on</strong>g>the</str<strong>on</strong>g> standard formula, it would be important<br />
• <str<strong>on</strong>g>to</str<strong>on</strong>g> keep note of any dependencies that would not be addressed<br />
properly by this treatment;<br />
• <str<strong>on</strong>g>to</str<strong>on</strong>g> choose <str<strong>on</strong>g>the</str<strong>on</strong>g> correlati<strong>on</strong> coefficients <str<strong>on</strong>g>to</str<strong>on</strong>g> adequately reflect<br />
potential dependencies in <str<strong>on</strong>g>the</str<strong>on</strong>g> tail of <str<strong>on</strong>g>the</str<strong>on</strong>g> distributi<strong>on</strong>s;<br />
• <str<strong>on</strong>g>to</str<strong>on</strong>g> assess <str<strong>on</strong>g>the</str<strong>on</strong>g> stability of any correlati<strong>on</strong> assumpti<strong>on</strong>s under<br />
stress c<strong>on</strong>diti<strong>on</strong>s;<br />
• <str<strong>on</strong>g>to</str<strong>on</strong>g> take account of <str<strong>on</strong>g>the</str<strong>on</strong>g> type of risk measure that is used <str<strong>on</strong>g>to</str<strong>on</strong>g><br />
determine <str<strong>on</strong>g>the</str<strong>on</strong>g> SCR; and<br />
• <str<strong>on</strong>g>to</str<strong>on</strong>g> provide statistical evidence that diversificati<strong>on</strong> effects exist<br />
even for <str<strong>on</strong>g>the</str<strong>on</strong>g> tail-end events, and that such effects are not<br />
systematically underestimated by an approach based <strong>on</strong> linear<br />
correlati<strong>on</strong>.<br />
In this c<strong>on</strong>text, it may be necessary <str<strong>on</strong>g>to</str<strong>on</strong>g> incorporate a cushi<strong>on</strong> for model<br />
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