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Operational risk data, when available, are usually scarce, heavy-tailed and possibly dependent. In this work, we introduce a model that captures such real-world characteristics and explicitly deals with heterogeneous pairwise and tail dependence of losses. By considering flexible families of...
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culture, and the risk appetite of the bank …
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context of capital reduction for a range of extreme loss models and insurance policy scenarios in a multi-period, multiple … risk settings. A Loss Distributional Approach (LDA) for modelling of the annual loss process, involving homogeneous … bank or financial institution to purchase insurance for heavy-tailed OpRisk losses under different insurance policy scenarios …
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internationally active banks and other financial institutions. The OR is the unexpected loss, which is the difference between the 99 …:9 per cent quantile and the mean of the loss distribution. This paper adapts non-parametric methods based on heavy … nonparametric methods is that there are no assumptions made about the shape of loss distributions and that data determines their …
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