EconPapers    
Economics at your fingertips  
 

Uniform Estimate for Maximum of Randomly Weighted Sums with Applications to Ruin Theory

Xin-mei Shen, Zheng-yan Lin and Yi Zhang ()
Additional contact information
Xin-mei Shen: Zhejiang University
Zheng-yan Lin: Zhejiang University
Yi Zhang: Zhejiang University

Methodology and Computing in Applied Probability, 2009, vol. 11, issue 4, 669-685

Abstract: Abstract This paper obtains the uniform estimate for maximum of sums of upper-tail independent and heavy-tailed random variables with nonnegative dependent random weights. Then the applications to ruin probabilities in a discrete time risk model with dependent gross losses and dependent stochastic returns are considered.

Keywords: Uniformly asymptotic estimate; Ruin probability; Consistent variation; Upper-tail independent; 60E20; 62P05; 91B30 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s11009-008-9090-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:metcap:v:11:y:2009:i:4:d:10.1007_s11009-008-9090-6

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1007/s11009-008-9090-6

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:metcap:v:11:y:2009:i:4:d:10.1007_s11009-008-9090-6