Uniform asymptotics for ruin probabilities of a time-dependent renewal risk model with dependence structures and stochastic returns
Zhiquan Jiang,
Jiangyan Peng and
Lei Zou
Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 13, 4553-4577
Abstract:
In this article, we study a renewal risk model with compound dependence structures and stochastic returns. An insurance company is allowed to make risk-free and risky investments, where the price process of the investment portfolio follows an exponential Lévy process. Assume that claim sizes follow a one-sided linear process with independent and identically distributed steps sizes, and the step sizes and the corresponding inter-arrival times form a sequence of independent and identically distributed random pairs, with each pair obeying a dependence structure. By restricting the distribution of the step sizes to the class of extended regular variation (ERV), we obtain some asymptotic estimates, which holds uniformly for all time horizons. Finally, we show the accuracy of the derived asymptotic formula by numerical simulations.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1995754 (text/html)
Access to full text is restricted to subscribers.
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:taf:lstaxx:v:52:y:2023:i:13:p:4553-4577
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2021.1995754
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().