Source: J. Appl. Probab. Volume 49, Number 2
(2012), 364-384.
The modeling of insurance risks has received an increasing amount of attention
because of solvency capital requirements. The ruin probability has become a
standard risk measure to assess regulatory capital. In this paper we focus on
discrete-time models for the finite time horizon. Several results are available
in the literature to calibrate the ruin probability by means of the sum of the
tail probabilities of individual claim amounts. The aim of this work is to
obtain asymptotics for such probabilities under multivariate regular variation
and, more precisely, to derive them from extensions of Breiman's theorem. We
thus present new situations where the ruin probability admits computable
equivalents. We also derive asymptotics for the value at risk.
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