Abstract
Let ξ1, . . . , ξn be dependent real-valued random variables with dominatedly varying distribution functions. We investigate the asymptotic behavior of the tail-moment E\( \left({\left({S}_n^{\xi}\right)}^m{1}_{\left\{{S}_n^{\upxi}>x\right\}}\right) \), where m is a nonnegative integer, and \( {S}_n^{\xi }={\xi}_1+\dots +{\xi}_n \). We consider the dependence structure, similar to pairwise strongly quasiasymptotic independence among the random summands. We also study the case where each summand of \( {S}_n^{\xi } \) can be expressed as the product of two random variables.
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A.V. Asimit, E. Furman, Q. Tang, and R. Vernic, Asymptotics for risk capital allocations based on Conditional Tail Expectation, Insur. Math. Econ., 49:310–324, 2011.
F. Bellini and E.D. Bernardino, Risk management with expectiles, Eur. J. Finance, 23:487–506, 2017.
F. Bellini, B. Klar, A. Müller, and E. Rosazza Gianin, Generalized quantiles as risk measures, Insur. Math. Econ.,54:41–48, 2014.
N.H. Bingham, C.M. Goldie, and J.L. Teugels, Regular Variation, Encycl. Math. Appl., Vol. 27, Cambridge Univ. Press, Cambridge, 1987.
Y. Chen, J. Liu, and F. Liu, Ruin with insurance and financial risks following the least risky FGM dependence structure, Insur. Math. Econ., 62:98–106, 2015.
Y. Chen and K.C. Yuen, Sums of pairwise quasi-asymptotically independent random variables with consistent variation, Stoch. Models, 25:76–89, 2009.
D. Cheng, Randomly weighted sums of dependent random variables with dominated variation, J. Math. Anal. Appl., 420:1617–1633, 2014.
F. Cheng and D. Cheng, Randomly weighted sums of dependent subexponential random variables with applications to risk theory, Scand. Actuarial J., 2018:191–202, 2018.
D.B.H. Cline and G. Samorodnitsky, Subexponentiality of the product of independent random variables, Stochastic Processes Appl., 49:75–98, 1994.
S. Danilenko, J. Markevičiūtė, and J. Šiaulys, Randomly stopped sums with exponential-type distributions, Nonlinear Anal. Model. Control, 22:793–807, 2017.
L. Dindienė, R. Leipus, and J. Šiaulys, Closure property and tail probability asymptotics for randomly weighted sums of dependent random variables with heavy tails, J. Korean Math. Soc., 54:1879–1903, 2017.
H. Finner, A generalization of Hölder’s inequality and some probability inequalities, Ann. Probab., 20:1893–1901, 1992.
A.L. Fougeres and C. Mercadier, Risk measures and multivariate extensions of Breiman’s theorem, J. Appl. Probab., 49:364–384, 2012.
Q. Gao and Y. Wang, Randomly weighted sums with dominated varying-tailed increments and application to risk theory, J. Korean Stat. Soc., 39:305–314, 2010.
J. Geluk and Q. Tang, Asymptotic tail probabilities of sums of dependent subexponential random variables, J. Theor. Probab., 22:871–882, 2009.
E. Hashorva and J. Li, Asymptotics for a discrete-time risk model with the emphasis on financial risk, Probab. Eng. Inf. Sci., 28:573–588, 2014.
L. Hua and H. Joe, Second order regular variation and conditional tail expectation of multiple risks, Insur. Math. Econ., 49:537–546, 2011.
X.F. Huang, T. Zhang, Y. Yang, and T. Jiang, Ruin probabilities in a dependent discrete-time risk model with Gamma-like tailed insurance risks, Risks, 5:14, 2017.
E. Jaunė, O. Ragulina, and J. Šiaulys, Expectation of the truncated randomly weighted sums with dominatedly varying summands, Lith. Math. J., 58:421–440, 2018.
J. Li, On pairwise quasi-asymptotically independent random variables and their applications, Stat. Probab. Lett., 83:2081–2087, 2013.
C. Ling and Z. Peng, Tail asymptotics of generalized deflated risks with insurance applications, Insur. Math. Econ., 71:220–231, 2016.
R. Liu and D. Wang, The ruin probabilities of a discrete-time risk model with dependent insurance and financial risks, J. Math. Anal. Appl., 444:80–94, 2016.
X. Liu, Q. Gao, and Y. Wang, A note on a dependent risk model with constant interest rate, Stat. Probab. Lett., 82: 707–712, 2011.
W. Matuszewska, On a generalisation of regularly increasing functions, Stud. Math., 24:271–279, 1964.
H. Nyrhinen, Finite and infinite time ruin probabilities in a stochastic economic environment, Stochastic Processes Appl., 92:265–285, 2001.
Q. Tang, Asymptotics for the finite time ruin probability in the renewal model with consistent variation, Stoch. Models, 20:281–297, 2004.
Q. Tang and G. Tsitsiashvili, Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks, Stochastic Processes Appl., 108:299–325, 2003.
Q. Tang and F. Yang, On the Haezendonck–Goovaerts risk measure for extreme risks, Insur. Math. Econ., 50:217–227, 2012.
Q. Tang and F. Yang, Extreme value analysis of the Haezendonck–Goovaerts risk measure with a general Young function, Insur. Math. Econ., 59:311–320, 2014.
Q. Tang and Z. Yuan, Randomly weighted sums of subexponential random variables with application to capital allocation, Extremes, 17:467–493, 2014.
K. Wang, Randomly weighted sums of dependent subexponential random variables, Lith. Math. J., 51:573–586, 2011.
K. Wang, M. Gao, Y. Yang, and Y. Chen, Asymptotics for the finite-time ruin probability in a discrete-time risk model with dependent insurance and financial risks, Lith. Math. J., 58:113–125, 2018.
S. Wang, C. Chen, and X. Wang, Some novel results on pairwise quasi-asymptotical independence with applications to risk theory, Commun. Stat., Theory Methods, 46:9075–9085, 2017.
S. Wang, Y. Hu, L. Yang, and W. Wang, Randomly weighted sums under a wide type dependence structure with application to conditional tail expectation, Commun. Stat., Theory Methods, 47:5054–5063, 2018.
X. Wang, Q. Liu, Y. Hou, and L. Peng, Nonparametric inference for sensitivity of Haezendonck–Goovaerts risk measure, Scand. Actuarial J., 2018:661–680, 2018.
Y. Yang and D.G. Konstantinides, Asymptotics for ruin probabilities in a discrete-time risk model with dependent financial and insurance risks, Scand. Actuarial J., 2015:641–659, 2015.
Y. Yang, R. Leipus, and J. Šiaulys, Asymptotics for randomly weighted and stopped dependent sums, Stochastics, 88:300–319, 2016.
Y. Yang and Y. Wang, Asymptotics for ruin probability of some negatively dependent risk models with a constant interest rate and dominatedly-varying-tailed claims, Stat. Probab. Lett., 80:143–154, 2010.
Y. Yang, Y. Wang, R. Leipus, and J. Šiaulys, Asymptotics for tail probability of total claim amount with negatively dependent claim sizes and its applications, Lith. Math. J., 49:337–352, 2009.
Y. Yang and K.C. Yuen, Asymptotics for a discrete-time risk model with gamma-like insurance risks, Scand. Actuarial J., 2016:565–579, 2016.
Y. Yang, T. Zhang, and K.C. Yuen, Approximations for finite-time ruin probability in a dependent discrete-time risk model with CMC simulations, J. Comput. Appl. Math., 321:143–159, 2017.
L. Yi, Y. Chen, and C. Su, Approximation of the tail probability of randomly weighted sums of dependent random variables with dominated variation, J. Math. Anal. Appl., 376:365–372, 2011.
L. Zhu and H. Li, Asymptotic analysis of multivariate tail conditional expectations, N. Am. Actuar. J., 16:350–363, 2012.
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Leipus, R., Šiaulys, J. & IevaVareikaitė Tails of higher-order moments with dominatedly varying summands∗. Lith Math J 59, 389–407 (2019). https://doi.org/10.1007/s10986-019-09444-x
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DOI: https://doi.org/10.1007/s10986-019-09444-x