Journal of Applied Probability

Risk measures and multivariate extensions of Breiman's theorem

Anne-Laure Fougeres and Cecile Mercadier
Source: J. Appl. Probab. Volume 49, Number 2 (2012), 364-384.

Abstract

The modeling of insurance risks has received an increasing amount of attention because of solvency capital requirements. The ruin probability has become a standard risk measure to assess regulatory capital. In this paper we focus on discrete-time models for the finite time horizon. Several results are available in the literature to calibrate the ruin probability by means of the sum of the tail probabilities of individual claim amounts. The aim of this work is to obtain asymptotics for such probabilities under multivariate regular variation and, more precisely, to derive them from extensions of Breiman's theorem. We thus present new situations where the ruin probability admits computable equivalents. We also derive asymptotics for the value at risk.

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Primary Subjects: 91B30
Secondary Subjects: 62P05
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Permanent link to this document: http://projecteuclid.org/euclid.jap/1339878792
Digital Object Identifier: doi:10.1239/jap/1339878792
Zentralblatt MATH identifier: 06053717
Mathematical Reviews number (MathSciNet): MR2977801

References

Alink, S., Löwe, M. and Wüthrich, M. V. (2004). Diversification of aggregate dependent risks. Insurance Math. Econom. 35, 77–95.
Mathematical Reviews (MathSciNet): MR2080981
Alink, S., Löwe, M. and Wüthrich, M. V. (2005). Analysis of the expected shortfall of aggregate dependent risks. ASTIN Bull. 35, 25–43.
Mathematical Reviews (MathSciNet): MR2142682
Digital Object Identifier: doi:10.2143/AST.35.1.583164
Arbenz, P., Embrechts, P. and Puccetti, G. (2011). The AEP algorithm for the fast computation of the distribution of the sum of dependent random variables. Bernoulli 17, 562–591.
Mathematical Reviews (MathSciNet): MR2787605
Digital Object Identifier: doi:10.3150/10-BEJ284
Project Euclid: euclid.bj/1302009237
Barbe, P., Fougères, A.-L. and Genest, C. (2006). On the tail behaviour of sums of dependent risks. ASTIN Bull. 36, 361–373.
Mathematical Reviews (MathSciNet): MR2312671
Digital Object Identifier: doi:10.2143/AST.36.2.2017926
Basrak, B., Davis, R. A. and Mikosch, T. (2002). Regular variation of GARCH processes. Stoch. Process. Appl. 99, 95–115.
Mathematical Reviews (MathSciNet): MR1894253
Zentralblatt MATH: 1060.60033
Digital Object Identifier: doi:10.1016/S0304-4149(01)00156-9
Beirlant, J., Goegebeur, Y., Teugels, J. and Segers, J. (2004). Statistics of Extremes. John Wiley, Chichester.
Mathematical Reviews (MathSciNet): MR2108013
Zentralblatt MATH: 1070.62036
Cai, J. (2002). Ruin probabilities with dependent rates of interest. J. Appl. Prob. 39, 312–323.
Mathematical Reviews (MathSciNet): MR1908947
Zentralblatt MATH: 1007.60096
Digital Object Identifier: doi:10.1239/jap/1025131428
Project Euclid: euclid.jap/1025131428
Chen, Y. and Su, C. (2006). Finite time ruin probability with heavy-tailed insurance and financial risks. Statist. Prob. Lett. 76, 1812–1820.
Mathematical Reviews (MathSciNet): MR2274145
Cossette, H. and Marceau, E. (2000). The discrete-time risk model with correlated classes of business. Insurance Math. Econom. 26, 133–149.
Mathematical Reviews (MathSciNet): MR1787833
Davis, R. A. and Mikosch, T. (2001). Point process convergence of stochastic volatility processes with application to sample autocorrelation. In Probability, Statistics and Seismology (J. Appl. Prob. Spec. Vol. 38A), ed. D. J. Daley, Applied Probability Trust, Sheffield, pp. 93–104.
Mathematical Reviews (MathSciNet): MR1915537
Zentralblatt MATH: 1021.60038
Digital Object Identifier: doi:10.1239/jap/1085496594
Project Euclid: euclid.jap/1085496594
De Haan, L. and Resnick, S. I. (1977). Limit theory for multivariate sample extremes. Z. Wahrscheinlichkeitsth. 40, 317–337.
Mathematical Reviews (MathSciNet): MR478290
Digital Object Identifier: doi:10.1007/BF00533086
Degen, M., Lambrigger, D. and Segers, J. (2010). Risk concentration and diversification: second-order properties. Insurance Math. Econom. 46, 541–546.
Mathematical Reviews (MathSciNet): MR2642531
Embrechts, P. and Veraverbeke, N. (1982). Estimates for the probability of ruin with special emphasis on the possibility of large claims. Insurance Math. Econom. 1, 55–72.
Mathematical Reviews (MathSciNet): MR652832
Embrechts, P., Klüppelberg, C. and Mikosch, T. (1997). Modelling Extremal Events (Appl. Math. 33). Springer, Berlin.
Mathematical Reviews (MathSciNet): MR1458613
Embrechts, P., Lambrigger, D. D. and Wüthrich, M. V. (2009a). Multivariate extremes and the aggregation of dependent risks: examples and counter-examples. Extremes 12, 107–127.
Mathematical Reviews (MathSciNet): MR2515643
Digital Object Identifier: doi:10.1007/s10687-008-0071-5
Embrechts, P., Nešlehová, J. and Wüthrich, M. V. (2009b). Additivity properties for value-at-risk under Archimedean dependence and heavy-tailedness. Insurance Math. Econom. 44, 164–169.
Mathematical Reviews (MathSciNet): MR2517882
Foss, S. and Richards, A. (2010). On sums of conditionally independent subexponential random variables. Math. Operat. Res. 35, 102–119.
Mathematical Reviews (MathSciNet): MR2676758
Zentralblatt MATH: 1226.60066
Digital Object Identifier: doi:10.1287/moor.1090.0430
Goovaerts, M. J. \et (2005). The tail probability of discounted sums of Pareto-like losses in insurance. Scand. Actuarial J. 2005, 446–461.
Mathematical Reviews (MathSciNet): MR2202586
Digital Object Identifier: doi:10.1080/03461230500361943
Hult, H. and Samorodnitsky, G. (2008). Tail probabilities for infinite series of regularly varying random vectors. Bernoulli 14, 838–864.
Mathematical Reviews (MathSciNet): MR2537814
Digital Object Identifier: doi:10.3150/08-BEJ125
Project Euclid: euclid.bj/1219669632
Kortschak, D. and Albrecher, H. (2009). Asymptotic results for the sum of dependent non-identically distributed random variables. Methodology Comput. Appl. Prob. 11, 279–306.
Mathematical Reviews (MathSciNet): MR2511246
Zentralblatt MATH: 1171.60348
Digital Object Identifier: doi:10.1007/s11009-007-9053-3
Mainik, G. and Rüschendorf, L. (2009). On optimal portfolio diversification with respect to extreme risks. Preprint.
Mathematical Reviews (MathSciNet): MR2738025
Zentralblatt MATH: 1226.91069
Digital Object Identifier: doi:10.1007/s00780-010-0122-z
Maulik, K., Resnick, S. and Rootzén, H. (2002). Asymptotic independence and a network traffic model. J. Appl. Prob. 39, 671–699.
Mathematical Reviews (MathSciNet): MR1938164
Digital Object Identifier: doi:10.1239/jap/1037816012
Project Euclid: euclid.jap/1037816012
Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: a new approach. Econometrica 59, 347–370.
Mathematical Reviews (MathSciNet): MR1097532
Digital Object Identifier: doi:10.2307/2938260
Ng, K. W., Tang, Q. H. and Yang, H. (2002). Maxima of sums of heavy-tailed random variables. ASTIN Bull. 32, 43–55.
Mathematical Reviews (MathSciNet): MR1928012
Digital Object Identifier: doi:10.2143/AST.32.1.1013
Nyrhinen, H. (1999). On the ruin probabilities in a general economic environment. Stoch. Process. Appl. 83, 319–330.
Mathematical Reviews (MathSciNet): MR1708212
Zentralblatt MATH: 0997.60041
Digital Object Identifier: doi:10.1016/S0304-4149(99)00030-7
Resnick, S. I. (1987). Extreme Values, Regular Variation, and Point Processes. Springer, New York.
Mathematical Reviews (MathSciNet): MR900810
Resnick, S. I. (2007). Heavy-Tail Phenomena. Springer, New York.
Mathematical Reviews (MathSciNet): MR2271424
Zentralblatt MATH: 1152.62029
Sgibnev, M. S. (1996). On the distribution of the maxima of partial sums. Statist. Prob. Lett. 28, 235–238.
Mathematical Reviews (MathSciNet): MR1406995
Tang, Q. and Tsitsiashvili, G. (2003a). Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks. Stoch. Process. Appl. 108, 299–325.
Mathematical Reviews (MathSciNet): MR2019056
Zentralblatt MATH: 1075.91563
Tang, Q. and Tsitsiashvili, G. (2003b). Randomly weighted sums of subexponential random variables with application to ruin theory. Extremes 6, 171–188.
Mathematical Reviews (MathSciNet): MR2081850
Digital Object Identifier: doi:10.1023/B:EXTR.0000031178.19509.57
Wang, D. and Tang, Q. (2006). Tail probabilities of randomly weighted sums of random variables with dominated variation. Stoch. Models 22, 253–272.
Mathematical Reviews (MathSciNet): MR2220965
Zentralblatt MATH: 1095.60008
Digital Object Identifier: doi:10.1080/15326340600649029
Wang, D., Su, C. and Zeng, Y. (2005). Uniform estimate for maximum of randomly weighted sums with applications to insurance risk theory. Sci. China Ser. A, 48, 1379–1394.
Mathematical Reviews (MathSciNet): MR2203911
Digital Object Identifier: doi:10.1360/022004-16
Wüthrich, M. V. (2003). Asymptotic value-at-risk estimates for sums of dependent random variables. ASTIN Bull. 33, 75–92.
Mathematical Reviews (MathSciNet): MR1983861
Digital Object Identifier: doi:10.2143/AST.33.1.1040
Zhang, Y., Shen, X. and Weng, C. (2009). Approximation of the tail probability of randomly weighted sums and applications. Stoch. Processes Appl. 119, 655–675.
Mathematical Reviews (MathSciNet): MR2494008
Zentralblatt MATH: 05527437
Digital Object Identifier: doi:10.1016/j.spa.2008.03.004
Zhu, C.-H. and Gao, Q.-B. (2008). The uniform approximation of the tail probability of the randomly weighted sums of subexponential random variables. Statist. Prob. Lett. 78, 2552–2558. \endharvbibliography
Mathematical Reviews (MathSciNet): MR2462692

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