2010
DOI: 10.1016/j.cam.2009.11.021
|View full text |Cite
|
Sign up to set email alerts
|

On the efficient evaluation of ruin probabilities for completely monotone claim distributions

Abstract: In this paper we propose a highly accurate approximation procedure for ruin probabilities in the classical collective risk model, which is based on a quadrature/rational approximation procedure proposed by Trefethen et al. [12]. For a certain class of claim size distributions (which contains the completely monotone distributions) we give a theoretical justification for the method. We also show that under weaker assumptions on the claim size distribution, the method may still perform reasonably well in some cas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
18
0

Year Published

2011
2011
2018
2018

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 18 publications
(19 citation statements)
references
References 11 publications
1
18
0
Order By: Relevance
“…As we see from the table, the Talbot algorithm appears to be the most efficient. This is not surprising given the discussion in Section 5.3.3 where it was pointed out that this algorithm is well suited for processes with completely monotone jumps (see also results by Albrecher, Avram and Kortschak [5] Table 2: Computing W (q) (x) for the θ -process with σ = 0.…”
Section: Numerical Examplesmentioning
confidence: 99%
See 2 more Smart Citations
“…As we see from the table, the Talbot algorithm appears to be the most efficient. This is not surprising given the discussion in Section 5.3.3 where it was pointed out that this algorithm is well suited for processes with completely monotone jumps (see also results by Albrecher, Avram and Kortschak [5] Table 2: Computing W (q) (x) for the θ -process with σ = 0.…”
Section: Numerical Examplesmentioning
confidence: 99%
“…The spacing between the points in x-domain is chosen at δ x = 5/N x . In this way the grid x m = mδ x covers the whole interval [0,5] The results of this numerical experiment for computing W (q) (x) are presented in Table 1. We see that each of the Gaver-Stehfest/Euler/Talbot algorithms produce very accurate results.…”
Section: Numerical Examplesmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, the ruin probabilities of the approximating process are computed using Thorin's integral formula (17) -see [26], which is valid when the shape parameter is smaller than 1 (completely monotone claims). However, we would like to note that the use of Thorin's formula is not essential, since rational approximation + partial fractions work also very well in this case (for example, the classic Padé approximation of Mathematica, or the one implemented here, as well as the rational approximations proposed in [27] and implemented in [28]). …”
Section: Numerical Resultsmentioning
confidence: 98%
“…See, for example, Gzyl et al [6], Avram et al [7], and Zhang et al [8] among others. A very interesting approximation based on the Trefethen–Weideman–Schmelzer (TWS) method (see [9]) is constructed in Albrecher et al [10]. In the latter work the authors assume that the claim size distribution represents a completely monotone function.…”
Section: Introductionmentioning
confidence: 99%