Abstract
In the general risk model (or the Sparre-Andersen model), it is well-known that the following assertion holds: if the claim size is exponentially distributed then the non-ruin probability distribution is a mixture of exponential distributions. In this paper, under some general conditions, we prove that the converse statement of the previous assertion is also true. Besides, we define a new non-ruin measure associated with the aggregate logarithms of the claim-over-profit ratios and obtain a result on Pareto-type distributions.
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References
Barlow, R. E. and Proschan, F. (1981). Statistical theory of reliability and life testing, 2nd edn. Probability Models, Silver Spring.
Embrechts, P., Kluppelberg, C. and Mikosch, T. (1997). Modelling extremal events for insurance and finance. Springer-Verlag, Heidelberg.
Feller, W. (1971). An introduction to probability theory and its applications volume 2, 2nd edn. Wiley, New York.
Galambos, J. and Kotz, S. (1978). Characterizations of probability distributions. A unified approach with an emphasis on exponential and related models, volume 675 of lecture notes in mathematics. Springer, New York.
Hu, C. -Y. and Cheng, T.-L. (2012). A characterization of distribution by random summation. Taiwanese J. Math. 16, 4, 1245–1264.
Hu, C. -Y. and Lin, G.-D. (2003). Characterizations of the exponential distribution by stochastic ordering properties o the geometric compound. Ann. Inst. Stati Math. 55, 3, 499–506.
Kakosyan, A. V., Klebanov, L. B. and Melamed, J.A. (1984). Characterization of distributions by the method of intensity monotone operators, volume 1088 of lecture notes in math. Springer, New York.
Psarrakos, G. (2010). On the dfr property of the compound geometric distribution with applications in risk theory. Insur. Math. Econ. 47, 3, 428–433.
Ramachandran, B. and Lau, K. S. (1991). Functional equations in probability theory. Academic Press, New York.
Rao, C. R. and Shanbhag, D. N. (1994). Choquet-Deny type functional equations with applications to stochastic models. Wiley, New York.
Rolski, T., Schmidli, H., Schmidt, V. and Teugels, J. (1999). Stochastic processes for insurance and finance. Wiley, Chichester.
Steutel, F. W. and Van Harn, K. (2004). Infinite divisibility of probability distributions on the real line. Marcel Dekker Inc., New York.
Tijms, H. (1994). Stochastic models: an algorithmic approach. Wiley, New York.
Willmot, G. E. and Lin, X. S. (2001). Lundberg approximations for compound distributions with insurance applications lecture notes in statistics, 156. Springer-Verlag, New York.
Willmot, G E and Lin, XS (2011). Risk modelling with the mixed erlang distribution. Appl. Stoch. Model. Bus. Ind. 27, 1, 2–16.
Acknowledgements
We give thanks to the anonymous reviewer for his invaluable comments. We are indebted to Prof. K.J. Chen for polishing this paper. The Ministry of Science and Technology, Taiwan, supports this work.
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Hu, CY., Wang, JT. & Cheng, TL. A Characterization of Exponential Distribution in Risk Model. Sankhya A 80, 342–355 (2018). https://doi.org/10.1007/s13171-017-0115-5
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DOI: https://doi.org/10.1007/s13171-017-0115-5