Calculation of aggregate loss distributions
Estimation of the operational risk capital under the Loss Distribution Approach requires evaluation of aggregate (compound) loss distributions which is one of the classic problems in risk theory. Closed-form solutions are not available for the distributions typically used in operational risk. However with modern computer processing power, these distributions can be calculated virtually exactly using numerical methods. This paper reviews numerical algorithms that can be successfully used to calculate the aggregate loss distributions. In particular Monte Carlo, Panjer recursion and Fourier transformation methods are presented and compared. Also, several closed-form approximations based on moment matching and asymptotic result for heavy-tailed distributions are reviewed.
|Date of creation:||Aug 2010|
|Date of revision:|
|Publication status:||Published in The Journal of Operational Risk 5(2), pp. 3-40, 2010|
|Contact details of provider:|| Web page: http://arxiv.org/|
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- repec:spr:compst:v:69:y:2009:i:3:p:497-508 is not listed on IDEAS
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