Being still in its early stages, operational risk modeling has, so far, mainly been concentrated on the marginal distributions of frequencies and severities within the context of the Loss Distribution Approach (LDA). In this study, drawing on a fairly large real-world data set, we analyze the effects of competing strategies for dependence modeling. In particular, we estimate tail dependence both via copulas as well as nonparametrically, and analyze its effect on aggregate risk- capital estimates. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
Mittnik, S., Paterlini, S., & Yener, T. (2010). Modeling operational risk: Estimation and effects of dependencies. In Proceedings of COMPSTAT 2010 - 19th International Conference on Computational Statistics, Keynote, Invited and Contributed Papers (pp. 541–548). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-7908-2604-3_55
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