Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/196909
Authors: 
Paulusch, Joachim
Schlütter, Sebastian
Year of Publication: 
2019
Series/Report no.: 
ICIR Working Paper Series 33/19
Abstract: 
Modern regulatory capital standards, such as the Solvency II standard formula, employ a correlation based approach for risk aggregation. The so-called "square-root formula" uses correlation parameters between, for example, market risk, non-life insurance risk and default risk to determine the company's aggregate capital requirement. To support decision-making, companies will allocate the required capital back to business segments and risk drivers. We demonstrate that capital allocations based on the square-root formula can substantially differ from those based on the true risk distribution if correlations are viewed as Pearson or tail correlations. An EVA-maximizing insurer receives misleading steering signals which can induce mispricing of risk and a default probability substantially above the desired level. To make the square-root formula feasible for business steering, we propose partial-derivative-implied correlations which reflect how marginal exposure changes impact the aggregate capital requirement. We show that the square-root formula in combination with partial-derivative-implied correlations provides capital allocations in line with the true risk distribution.
Subjects: 
Solvency II
Tail correlation
Risk aggregation
Capital allocation
JEL: 
G22
G28
G32
Document Type: 
Working Paper
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