2019
DOI: 10.3390/math7100891
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A Note on a Generalized Gerber–Shiu Discounted Penalty Function for a Compound Poisson Risk Model

Abstract: In this paper, we propose a new generalized Gerber–Shiu discounted penalty function for a compound Poisson risk model, which can be used to study the moments of the ruin time. First, by taking derivatives with respect to the original Gerber–Shiu discounted penalty function, we construct a relation between the original Gerber–Shiu discounted penalty function and our new generalized Gerber–Shiu discounted penalty function. Next, we use Laplace transform to derive a defective renewal equation for the generalized … Show more

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Cited by 7 publications
(9 citation statements)
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“…Substitute (32) into (31) and then combine the yielding equation with (30), one can find that V ξ ′ (b− ) � V ξ ′ (b+) coincides with (26).…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 99%
See 2 more Smart Citations
“…Substitute (32) into (31) and then combine the yielding equation with (30), one can find that V ξ ′ (b− ) � V ξ ′ (b+) coincides with (26).…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 99%
“…e concavity of V ξ in Figures 1(b) and 1(c) motivates us to find the optimal threshold (denote it by b * ). By (26), we can get the corresponding optimal threshold level b * for different cases, as shown in Table 1.…”
Section: Special Casesmentioning
confidence: 99%
See 1 more Smart Citation
“…Since then, it has become a standard tool for studying ruin related quantities. We refer the interested readers to Lin et al [40], Huang and Yu [41], Ruan et al [42], Li et al [43], Wang et al [44], Yang et al [45], Yu [46,47], Yuen et al [48], Huang et al [49], Xie and Zou [50].…”
Section: Introductionmentioning
confidence: 99%
“…Yang and Zhang [4], Wang [5], and Cao and Wan [6] studied the optimal reinsurance and investment problems of expected utility maximization. e latest researches on insurance and investment management problem can be referred to Yu et al [7], Zhang et al [8], Peng et al [9], Yu et al [10], Ruan et al [11], Yu et al [12], Huang et al [13], Zeng et al [14], Li et al [15] and references therein.…”
Section: Introductionmentioning
confidence: 99%