We discuss the weak convergence of convex stochastic processes. Let {Z.(t): t e T }, n >/ 1, be a sequence of stochastic processes, where T is an open convex set of R e, such that Z, : T ~ R is a convex function (for each ~o and each n), We show that {Z,(t):ts To} converges weakly to {Z(t):t ~ T}, f
Time stochastic s-convexity of claim processes
โ Scribed by Michel Denuit
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 92 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0167-6687
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โฆ Synopsis
The purpose of this paper is to study the conditions on a stochastic process under which the s-convex ordering and the s-increasing convex stochastic ordering between two random instants is transformed into a stochastic ordering of the same type between the states occupied by this process at these moments. In this respect, the present work develops a previous study by Shaked and Wong (1995) [Probability in the Engineering and Informational Sciences 9, 563-580]. As an illustration, we show that the binomial and the Poisson processes, commonly used in actuarial sciences to model the occurrence of insured claims, possess this remarkable property.
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