Calculation of aggregate loss distributions
Pavel V. Shevchenko
Papers from arXiv.org
Abstract:
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: 2010-08
New Economics Papers: this item is included in nep-ban, nep-cmp and nep-rmg
References: Add references at CitEc
Citations: View citations in EconPapers (13)
Published in The Journal of Operational Risk 5(2), pp. 3-40, 2010
Downloads: (external link)
http://arxiv.org/pdf/1008.1108 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1008.1108
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().