RESEARCH ARTICLE

Precise large deviations for generalized dependent compound renewal risk model with consistent variation

  • Yu CHEN ,
  • Weiping ZHANG ,
  • Chun SU
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  • Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei 230026, China

Received date: 04 May 2010

Accepted date: 02 Dec 2013

Published date: 01 Feb 2014

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

We investigate the precise large deviations of random sums of negatively dependent random variables with consistently varying tails. We find out the asymptotic behavior of precise large deviations of random sums is insensitive to the negative dependence. We also consider the generalized dependent compound renewal risk model with consistent variation, which including premium process and claim process, and obtain the asymptotic behavior of the tail probabilities of the claim surplus process.

Cite this article

Yu CHEN , Weiping ZHANG , Chun SU . Precise large deviations for generalized dependent compound renewal risk model with consistent variation[J]. Frontiers of Mathematics in China, 2014 , 9(1) : 31 -44 . DOI: 10.1007/s11464-013-0350-6

1
Alam K, Saxena K M L. Positive dependence in multivariate distributions. Comm Statist A-Theory Methods, 1981, 10: 1183-1196

DOI

2
Bingham N H, Goldie C M, Teugels J L. Regular Variation. Cambridge: Cambridge University Press, 1987

DOI

3
Block W, Savits T H, Shaked M. Some concepts of negative dependence. Ann Probab, 1982, 10: 765-772

DOI

4
Chen Y, Zhang W. Large deviations for random sums of negatively dependent random variables with consistently varying tails. Probab Statist Lett, 2007, 77: 530-538

DOI

5
Cline D B H, Hsing T. Large deviation probabilities for sums and maxima of random variables with heavy or subexponential tails. Texas A&M University, Preprint, 1991

6
Cline D B H, Samorodnitsky G. Subexponentiality of the product of independent random variables. Stochastic Process Appl, 1994, 49(1): 75-98

DOI

7
Ebrahimi N, Ghosh M. Multivariate negative dependence. Comm Statist A-Theory Methods, 1981, 10: 307-337

DOI

8
Embrechts P, Klüppelberg C, Mikosch T. Modelling Extremal Events for Insurance and Finance. Berlin: Springer-Verlag, 1997

DOI

9
Hu Y. Large deviations for generalized compound poisson risk models and its bankruptcy moments. Sci China Ser A, 2004, 47(2): 311-319

DOI

10
Jelenković P R, Lazar A A. Asymptotic results for multiplexing subexponential on-off processes. Adv Appl Probab, 1999, 31: 394-421

DOI

11
Joag-Dev K, Proschan F. Negative association of random variables with applications. Ann Statist, 1983, 11: 286-295

DOI

12
Klüppelberg C, Mikosch T. Large deviations of heavy-tailed random sums with applications in insurance and finance. Adv Appl Probab, 1997, 34: 293-308

13
Matula P M. A note on the almost sure convergence of sums of negatively dependent random variables. Probab Statist Lett, 1992, 15(3): 209-213

DOI

14
Ng K W, Tang Q, Yan J, Yang H. Precise large deviations for sums of random variables with consistently varying tails. J Appl Probab, 2004, 41: 93-107

DOI

15
Rolski T, Schmidli H, Schmidli V. Stochastic Process for Insurance and Finance. New York; John Wiley and Sons, 1999

DOI

16
Tang Q. Insensitivity to negative dependence of the asymptotic behavior of precise large deviations. Electr J Probab, 2006, 11: 107-120

DOI

17
Tang Q, Su C, Jiang T, Zhang J S. Large deviations for heavy-tailed random sums in compound renewal model. Probab Statist Lett, 2001, 52(1): 91-100

DOI

18
Tang Q, Tsitsashvili G. Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks. Stochastic Process Appl, 2003, 108: 299-325

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