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Quantifying Operational Risk Guided by Kernel Smoothing and Continuous Credibility: A Practitioners View
2006
Social Science Research Network
This paper considers the benefits of applying sophisticated statistical techniques to challenges faced in the quantification of operational risk. The evolutionary nature of operational risk modeling to establish capital charges is recognized, emphasizing the importance of capturing tail behavior. Non-parametric smoothing techniques are considered along with a parametric base with a particular view to comparison with extreme value theory. This is presented without detailed proofs with the aim of
doi:10.2139/ssrn.880361
fatcat:s3elm2me4fdrrcmgimm2ktfmiq