EconPapers    
Economics at your fingertips  
 

Estimating the time value of ruin in a Lévy risk model under low-frequency observation

Wenyuan Wang, Jiayi Xie and Zhimin Zhang

Insurance: Mathematics and Economics, 2022, vol. 104, issue C, 133-157

Abstract: In this paper, we consider statistical estimation of the time value of ruin in a Lévy risk model. Suppose that the aggregate claims process of an insurance company is modeled by a pure jump Lévy subordinator, and we can observe the data set on the aggregate claims based on low-frequency sampling. The time value of ruin is estimated by the Fourier-cosine method, and the uniform convergence rate is also derived. Through a lot of simulation studies, we show that our estimators are very effective when the sample size is finite.

Keywords: Lévy risk model; Time value of ruin; Estimator; Low-frequency observation (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167668722000269
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:104:y:2022:i:c:p:133-157

DOI: 10.1016/j.insmatheco.2022.02.006

Access Statistics for this article

Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu

More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:insuma:v:104:y:2022:i:c:p:133-157