Abstract
Assuming that insurance claims arrive according to a general order-statistic (OS) point process, we explore ways for calculating the first two moments of the aggregate claim, thus facilitating the calculation of, and statistical inference for, quantities of actuarial interest such as the standard-deviation risk measure. We allow the OS process to govern claim sizes via claim arrival or, alternatively, claim interarrival times, which is a practically important feature. Given these general dependence structures and the underlying OS process, the herein obtained results extend and generalize a number of those in the literature.
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Albrecher, H., and J. T. Teugels. 2006. Exponential behaviour in the presence of dependence in risk theory. J. Appl. Probability, 43, 257–273.
Asmussen, S., and H. Albrecher. 2010. Ruin probabilities, 2nd ed. Hackensack, NJ, World Scientific Publishing.
Bebbington, M., and D. Harte, 2001. On the statistics of the linked stress release model. J. Appl. Probability, 38A, 176–187.
Bebbington, M. 2008. Incorporating the eruptive history in a stochastic model for volcanic eruptions. J. Volcanol. Geothermal Res., 175, 325–3338.
Bebbington, M. 2011. Volcanic eruptions: stochastic models of occurrence patterns. In Extreme environmental events: Complexity in forecasting and early warning, ed. R. A. Meyers, 1104–1134. New York, Springer.
Bebbington, M. S., and W. Marzocchi. 2011. Stochastic models for earthquake triggering of volcanic eruptions. J. Geophys. Res., 116, B05204. doi:10.1029/2010JB008114
Bowers, N. L., H. U. Gerber, J. C. Hickman, D. A. Jones, and C. J. Nesbitt. 1997. Actuarial mathematics, 2nd ed. Schaumburg, IL, Society of Actuaries.
Berg, M., and F. Spizzichino. 2000. Time-lagged point processes with the order-statistics property. Math. Methods Operations Res., 51, 301–314.
Boudreault, M., H. Cossette, D. Landriault, and E. Marceau. 2006. On a risk model with dependence between interclaim arrivals and claim sizes. Scand. Actuarial J., 5, 256–285.
Cerqueti, R., R. Foschi, and F. Spizzichino. 2009. A spatial mixed Poisson framework for combination of excess-of-loss and proportional reinsurance contracts. Insurance Math. Econ., 45, 59–64.
Crump, K. S. 1975. On point processes having an order statistic structure. Sankhyā Ser. A, 37, 396–404.
Das, K. P., A. K. M. S. Islam, and P. Chiou. 2011. A skew-normal approximation of the distribution of aggregate claims. J. Probability Stat. Sci., 9, 93–104.
David, H. A., and H. N. Nagaraja. 2003. Order statistics, 3rd ed. Hoboken, NJ, Wiley.
Debrabant, B. 2008. Point processes with a generalized order statistic property. Berlin, Logos.
Deffner, A., and E. Haeusler. 1985. A characterization of order statistic point processes that are mixed Poisson processes and mixed sample processes simultaneously. J. Appl. Probability, 22, 314–323.
Denuit, M., J. Dhaene, M. Goovaerts, and R. Kaas. 2005. Actuarial theory for dependent risks: Measures, orders and models. Chichester, UK: Wiley.
Dickson, D. C. M. 2005. Insurance risk and ruin. Cambridge, UK, Cambridge University Press.
Embrechts, P., C. Klüppelberg, and T. Mikosch. 1997. Modelling extremal events: For insurance and finance. Berlin, Springer.
Feigin, P. D. 1979. On the characterization of point processes with the order statistic property. J. Appl. Probability, 16, 297–304.
Garrido, J., and Y. Lu. 2004. On double periodic non-homogeneous Poisson processes. Bull. Assoc. Swiss Actuaries, 2, 195–212.
Grandell, J. 1997. Mixed Poisson processes. London, UK, Chapman and Hall.
Huang, W. J. 1990. On the characterization of point processes with the exchangeable and Markov properties. Sankhyā Ser. A, 52, 16–27.
Huang, W. J., and J. M. Shoung. 1994. On a study of some properties of point processes. Sankhyā Ser. A, 56, 67–76.
Huang, W. J., and J. C. Su. 1999. On certain problems involving order statisticsa unified approach through order statistics property of point processes. Sankhyā Ser. A, 61, 36–49.
Kallenberg, O. 1976. Random measures. London, UK, Academic Press.
Klugman, S. A., H. H. Panjer, and G. E. Willmot. 2008. Loss models: From data to decisions. 3rd ed. Hoboken, NJ, Wiley.
Léveillé, G., J. Garrido, and Y. F. Wang. 2010. Moment generating functions of compound renewal sums with discounted claims. Scand. Actuarial J., 3, 165–184.
Li, S. 2008. Discussion on “On the Laplace transform of the aggregate discounted claims with Markovian arrivals.” North Am. Actuarial J., 4, 443–445.
Liberman, U. 1985. An order statistic characterization of the Poisson renewal process. J. Appl. Probability, 22, 717–722.
Lu, Y., and J. Garrido, 2005. Doubly periodic non-homogeneous Poisson models for hurricane data. Stat. Methodol., 2, 17–35.
Lu, Y., and J. Garrido. 2006. Regime-switching periodic non-homogeneous Poisson processes. North Am. Actuarial J., 10 (4), 235–248.
McNeil, A. J., R. Frey, and P. Embrechts. 2005. Quantitative risk management: Concepts, techniques, and tools. Princeton, NJ, Princeton University Press.
Nawrotzki, K. 1962. Ein Grenzwertsatz für homogene zufällige Punktfolgen (Verallgemeinerung eines Satzes von A. Rényi). Math. Nachricht., 24, 201–217
Nelsen, R. B. 2006. An introduction to copulas, 2nd ed. New York, Springer.
Parzen, E. 1962. Stochastic processes. San Francisco, CA, Holden-Day.
Puri, P. S. 1982. On the characterization of point processes with the order statistic property without the moment condition. J. Appl. Probability, 19, 39–51.
Ren, J. 2008. On the Laplace transform of the aggregate discounted claims with Markovian arrivals. North Am. Actuarial J., 2, 198–207.
Rolski, T., H. Schmidli, V. Schmidt, and J. Teugels. 1999. Stochastic processes for insurance and finance. Chichester, UK, Wiley.
Shaked, M., F. Spizzichino, and F. Suter. 2004. Uniform order statistics property and l ∞-spherical densities. Probability Eng. Informational Sci., 18, 275–297.
Teugels, J. L., and P. Vynckier. 1996. The structure distribution in a mixed Poisson process. J. Appl. Math. Stochastic Anal., 9, 489–496.
Westcott, M. 1973. Some remarks on a property of the Poisson process. Sankhyā Ser. A, 35, 29–34.
Willmot, G. E. 1989. The total claims distribution under inflationary conditions. Scand. Actuarial J., 1989, 1–12.
Young, V. R. 2004. Premium principles. In Encyclopedia of actuarial science, ed. J. Teugels and B. Sundt, 1322–1331. New York, Wiley.
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Sendova, K.P., Zitikis, R. The Order-Statistic Claim Process With Dependent Claim Frequencies and Severities. J Stat Theory Pract 6, 597–620 (2012). https://doi.org/10.1080/15598608.2012.719736
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DOI: https://doi.org/10.1080/15598608.2012.719736