A Wiener-Hopf Type Factorization for the Exponential Functional of Levy Processes
arXiv:1105.0062 · doi:10.1112/jlms/jds028
Abstract
For a Lévy process drifting to , we define the so-called exponential functional as follows \[{\rm{I}}_ξ=\int_0^{\infty}e^{ξ_t} dt.\] Under mild conditions on , we show that the following factorization of exponential functionals \[{\rm{I}}_ξ\stackrel{d}={\rm{I}}_{H^-} \times {\rm{I}}_{Y}\] holds, where, stands for the product of independent random variables, is the descending ladder height process of and is a spectrally positive Lévy process with a negative mean constructed from its ascending ladder height process. As a by-product, we generate an integral or power series representation for the law of for a large class of Lévy processes with two-sided jumps and also derive some new distributional properties. The proof of our main result relies on a fine Markovian study of a class of generalized Ornstein-Uhlenbeck processes which is of independent interest on its own. We use and refine an alternative approach of studying the stationary measure of a Markov process which avoids some technicalities and difficulties that appear in the classical method of employing the generator of the dual Markov process.
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- Asymptotics for Exponential Functionals of Random Walks
- Moments of exponential functionals of Lévy processes on a deterministic horizon -- identities and explicit expressions
- Asian options and meromorphic Levy processes
- Bivariate Bernstein-gamma functions, potential measures, and asymptotics of exponential functionals of Lévy processes
- Asymptotic Results for Heavy-tailed Lévy Processes and their Exponential Functionals