most citedEfficient simulation of tail probabilities for sums of log-elliptical risks

18 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

math.PR2014★ 1 cited

Tail asymptotics of randomly weighted large risks

Alexandru V. Asimit, Enkelejd Hashorva, Dominik Kortschak

In this paper we are concerned with a sample of asymptotically independent risks. Tail asymptotic probabilities for linear combinations of randomly weighted order statistics are ap…

math.PR2014★ 18 cited

Efficient simulation of tail probabilities for sums of log-elliptical risks

D. Kortschak, E. Hashorva

In the framework of dependent risks it is a crucial task for risk management purposes to quantify the probability that the aggregated risk exceeds some large value u. Motivated by…

math.PR2014★ 5 cited

Second order asymptotics of aggregated log-elliptical risk

D. Kortschak, E. Hashorva

In this paper we establish the error rate of first order asymptotic approximation for the tail probability of sums of log-elliptical risks. Our approach is motivated by extreme val…

math.PR2014★ 5 cited

Tail Asymptotics of Random Sum and Maximum of Log-Normal Risks

Enkelejd Hashorva, Dominik Kortschak

In this paper we derive the asymptotic behaviour of the survival function of both random sum and random maximum of log-normal risks. As for the case of finite sum and maximum inves…

math.PR2011

Second order corrections for the limits of normalized ruin times in the presence of heavy tails

Søren Asmussen, Dominik Kortschak

In this paper we consider a compound Poisson risk model with regularly varying claim sizes. For this model in [1] an asymptotic formula for the finite time ruin probability is prov…