Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks
Qihe Tang and
Gurami Tsitsiashvili
Stochastic Processes and their Applications, 2003, vol. 108, issue 2, 299-325
Abstract:
This paper investigates the probability of ruin within finite horizon for a discrete time risk model, in which the reserve of an insurance business is currently invested in a risky asset. Under assumption that the risks are heavy tailed, some precise estimates for the finite time ruin probability are derived, which confirm a folklore that the ruin probability is mainly determined by whichever of insurance risk and financial risk is heavier than the other. In addition, some discussions on the heavy tails of the sum and product of independent random variables are involved, most of which have their own merits.
Keywords: Asymptotics; Dominated; variation; Matuszewska; indices; Moment; index; Ruin; probability; Subexponentiality (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (75)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(03)00104-2
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:spapps:v:108:y:2003:i:2:p:299-325
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().