Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model

This paper studies the statistical estimation of the Gerber-Shiu discounted penalty functions in a general spectrally negative Lévy risk model. Suppose that the claims process and the surplus process can be observed at a sequence of discrete time points. Using the observed data, the Gerber-Shiu func...

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Main Authors: Yujuan Huang, Wenguang Yu, Yu Pan, Chaoran Cui
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2019/3607201
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author Yujuan Huang
Wenguang Yu
Yu Pan
Chaoran Cui
author_facet Yujuan Huang
Wenguang Yu
Yu Pan
Chaoran Cui
author_sort Yujuan Huang
collection DOAJ
description This paper studies the statistical estimation of the Gerber-Shiu discounted penalty functions in a general spectrally negative Lévy risk model. Suppose that the claims process and the surplus process can be observed at a sequence of discrete time points. Using the observed data, the Gerber-Shiu functions are estimated by the Laguerre series expansion method. Consistent properties are studied under the large sample setting, and simulation results are also presented when the sample size is finite.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-d2b1fd141a3b46dd84f0e164360342e22025-02-03T01:10:55ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/36072013607201Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk ModelYujuan Huang0Wenguang Yu1Yu Pan2Chaoran Cui3School of Science, Shandong Jiaotong University, Jinan, Shandong 250357, ChinaSchool of Insurance, Shandong University of Finance and Economics, Jinan, Shandong 250014, ChinaCollege of Mathematics and Statistics, Chongqing University, Chongqing 401331, ChinaSchool of Computer Science & Technology, Shandong University of Finance and Economics, Jinan, Shandong 250014, ChinaThis paper studies the statistical estimation of the Gerber-Shiu discounted penalty functions in a general spectrally negative Lévy risk model. Suppose that the claims process and the surplus process can be observed at a sequence of discrete time points. Using the observed data, the Gerber-Shiu functions are estimated by the Laguerre series expansion method. Consistent properties are studied under the large sample setting, and simulation results are also presented when the sample size is finite.http://dx.doi.org/10.1155/2019/3607201
spellingShingle Yujuan Huang
Wenguang Yu
Yu Pan
Chaoran Cui
Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model
Discrete Dynamics in Nature and Society
title Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model
title_full Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model
title_fullStr Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model
title_full_unstemmed Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model
title_short Estimating the Gerber-Shiu Expected Discounted Penalty Function for Lévy Risk Model
title_sort estimating the gerber shiu expected discounted penalty function for levy risk model
url http://dx.doi.org/10.1155/2019/3607201
work_keys_str_mv AT yujuanhuang estimatingthegerbershiuexpecteddiscountedpenaltyfunctionforlevyriskmodel
AT wenguangyu estimatingthegerbershiuexpecteddiscountedpenaltyfunctionforlevyriskmodel
AT yupan estimatingthegerbershiuexpecteddiscountedpenaltyfunctionforlevyriskmodel
AT chaorancui estimatingthegerbershiuexpecteddiscountedpenaltyfunctionforlevyriskmodel