In this paper, we consider a discrete time insurance risk model, in which
insurance and financial risks jointly follow a bivariate generalized FGM
distribution. Assuming that every convex combination of the marginal distributions
of insurance and financial risks belongs to strongly
regular variation class, we derive some asymptotic equivalence formulas for
these probabilities with both finite and infinite time horizons, all in the
form of linear combinations of the tail probabilities of the insurance and
financial risks.
Cite this paper
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