Estimating the Gerber–Shiu Function in the Two-Sided Jumps Risk Model by Laguerre Series Expansion

In this paper, we consider an insurance risk model with two-sided jumps, where downward and upward jumps typically represent claim amounts and random gains, respectively. We use the Laguerre series to expand the Gerber–Shiu function and estimate it based on observed information. Moreover, we show th...

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Bibliographic Details
Main Authors: Deng, Y. (Author), Hu, K. (Author), Huang, Y. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:View Fulltext in Publisher
View in Scopus
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001 10.3390-math11091994
008 230529s2023 CNT 000 0 und d
020 |a 22277390 (ISSN) 
245 1 0 |a Estimating the Gerber–Shiu Function in the Two-Sided Jumps Risk Model by Laguerre Series Expansion 
260 0 |b MDPI  |c 2023 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/math11091994 
856 |z View in Scopus  |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159158291&doi=10.3390%2fmath11091994&partnerID=40&md5=f52957c873a09427bd175deb2ec6db26 
520 3 |a In this paper, we consider an insurance risk model with two-sided jumps, where downward and upward jumps typically represent claim amounts and random gains, respectively. We use the Laguerre series to expand the Gerber–Shiu function and estimate it based on observed information. Moreover, we show that the estimator is easily computed and has a fast convergence rate. Numerical examples are also provided to show the efficiency of our method when the sample size is finite. © 2023 by the authors. 
650 0 4 |a estimator 
650 0 4 |a Gerber–Shiu function 
650 0 4 |a Laguerre series 
650 0 4 |a two-sided jumps 
700 1 0 |a Deng, Y.  |e author 
700 1 0 |a Hu, K.  |e author 
700 1 0 |a Huang, Y.  |e author 
773 |t Mathematics