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RATIO MONOTONICITY FOR TAIL PROBABILITIES IN THE RENEWAL RISK MODEL

Published online by Cambridge University Press:  31 March 2011

Georgios Psarrakos
Affiliation:
Department of Statistics and Insurance Science, University of Piraeus, Piraeus 18534, Greece E-mail: gpsarr@unipi.gr
Michael Tsatsomeros
Affiliation:
Department of Mathematics, Washington State University, Pullman, WA 99164-3113, E-mail: tsat@wsu.edu
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Abstract

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A renewal model in risk theory is considered, where is the tail of the distribution of the deficit at ruin with initial surplus u and is the tail of the ladder height distribution. Conditions are derived under which the ratio is nondecreasing in u for any y≥0. In particular, it is proven that if the ladder height distribution is stable and DFR or phase type, then the above ratio is nondecreasing in u. As a byproduct of this monotonicity, an upper bound and an asymptotic result for are derived. Examples are given to illustrate the monotonicity results.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2011

References

1.Apostol, T.M. (1974). Mathematical analysis, 2nd ed.Hong Kong: Addison-Wesley.Google Scholar
2.Asmussen, S. (2000). Ruin probabilities. Singapore: World Scientific.CrossRefGoogle Scholar
3.Berman, A. & Plemmons, B. (1994). Nonnegative matrices in the mathematical sciences. Philadelphia: SIAM.CrossRefGoogle Scholar
4.Bingham, N.H., Goldie, C.M. & Teugels, J.L. (1987). Regular variation. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
5.Daley, D.J., Omey, E. & Vesilo, R. (2007). The tail behavior of a random sum of subexponential random variables and vectors. Extremes 10: 2139.CrossRefGoogle Scholar
6.Dickson, D.C.M. (1998). On a class of renewal risk processes. North American Actuarial Journal 11(3): 128137.Google Scholar
7.Dickson, D.C.M. & dos Reis, A.E. (1996). On the distribution of the duration of negative surplus. Scandinavian Actuarial Journal 1996: 148164.CrossRefGoogle Scholar
8.Drekic, S., Dickson, D.C.M., Stanford, D.A. & Willmot, G.E. (2004). On the distribution of the deficit at ruin when claims are phase-type. Scandinavian Actuarial Journal 2004: 105120.CrossRefGoogle Scholar
9.Embrechts, P. & Veraverbeke, N. (1982). Estimates for the probability of ruin with special emphasis on the possibility of large claims. Insurance: Mathematics and Economics 7: 5572.Google Scholar
10.Fagiuoli, E. & Pellerey, F. (1994). Preservation of certain classes of life distributions under Poisson shock models. Journal of Applied Probability 31: 458465.CrossRefGoogle Scholar
11.Gerber, H.U., Goovaerts, M.J. & Kaas, R. (1987). On the probability and severity of ruin. ASTIN Bulletin 17: 152163.CrossRefGoogle Scholar
12.Horn, R.A. & Johnson, C.R. (1985). Matrix analysis. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
13.Psarrakos, G. (2009). Asymptotic results for heavy-tailed distributions using defective renewal equations. Statistics and Probability Letters 79: 774779.CrossRefGoogle Scholar
14.Psarrakos, G. & Politis, K. (2009). Monotonicity properties and the deficit at ruin in the Sparre Andersen model. Scandinavian Actuarial Journal 2009: 104118.CrossRefGoogle Scholar
15.Rolski, T., Schmidli, H., Schmidt, V. & Teugels, J. (1999). Stochastic processes for insurance and finance. New York: Wiley.CrossRefGoogle Scholar
16.Samorodnitsky, G. & Taqqu, M. (1994). Stable non-Gaussian random processes. London: Chapman and Hall.Google Scholar
17.Shanthikumar, J.G. (1988). DFR properties of first-passage times and its preservation under geometric compounding. Annals of Probability 33: 397406.Google Scholar
18.Willmot, G.E. (2002). Compound geometric residual lifetime distributions and the deficit at ruin. Insurance: Mathematics and Economics 30: 421438.Google Scholar
19.Willmot, G.E., Dickson, D.C.M., Drekic, S. & Stanford, D.A. (2004). The deficit at ruin in the stationary renewal risk model. Scandinavian Actuarial Journal 2004: 241255.CrossRefGoogle Scholar
20.Willmot, G.E. & Lin, X.S. (1998). Exact and approximate properties of the distribution of the surplus before and after ruin. Insurance: Mathematics and Economics 23: 91110.Google Scholar