Risk aggregation and Extreme Events [66]

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Bullet points include: Contains complete characterisation not just of each individual marginal distribution but also of the co-dependency between them Encapsulates in a single chart fat-tailed behaviour arising both from co-dependency characteristics as well as from marginal distributions Like a one-dimensional QQ plot, places greater visual emphasis on extreme events Relatively easy to identify types of circumstances in which divergences from Normal distribution seem most pronounced Can curve-fit to smooth out sampling error if applied to observed data

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