Abstract
Given a pure-jump subordinator (i.e. nondecreasing Lévy process with no drift) with continuous Lévy measure ν, we derive a formula for the distribution function Fs (x; t) at time t of the associated subordinator whose Lévy measure is the restriction of ν to (0,s]. It will be expressed in terms of ν and the marginal distribution function F (⋅; t) of the original process. A generalization concerning an arbitrary truncation of ν will follow. Under certain conditions, an analogous formula will be obtained for the nth derivative, ∂nFs (x; t) ∂ xn. The requirement that ν is continuous is shown to have no intrinsic meaning. A number of interesting results involving the size ordered jumps of subordinators will be derived. An appropriate approximation for the small jumps of a gamma process will be considered, leading to a revisiting of the generalized Dickman distribution.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Statistics and Probability
Reference20 articles.
1. On the distribution of points in a poisson dirichlet process
2. Optimal portfolios when stock prices follow an exponential L�vy process
3. [4] Covo S. (2008). On approximations of small Jumps of subordinators with particular emphasis on a Dickman-type limit. Submitted.
4. Nonparametric estimation for nondecreasing Lévy processes;Basawa;J. R. Statist. Soc. B,1982
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