Exponential functionals of L\'evy processes with jumps
Anita Behme

TL;DR
This paper investigates the distribution and properties of exponential functionals of two independent Lévy processes, deriving equations, analyzing the mapping of distributions, and characterizing classes like selfdecomposable and generalized Gamma convolutions.
Contribution
It introduces new integro-differential equations for the density of exponential functionals and characterizes the distribution classes within the Lévy process framework.
Findings
Derived an integro-differential equation for the density of the exponential functional.
Analyzed the mapping from Lévy process characteristics to the distribution of the exponential functional.
Provided new characterizations of selfdecomposable and generalized Gamma convolution distributions.
Abstract
We study the exponential functional of two one-dimensional independent L\'evy processes and , where is a subordinator. In particular, we derive an integro-differential equation for the density of the exponential functional whenever it exists. Further, we consider the mapping for a fixed L\'evy process , which maps the law of to the law of the corresponding exponential functional , and study the behaviour of the range of for varying characteristics of . Moreover, we derive conditions for selfdecomposable distributions and generalized Gamma convolutions to be in the range. On the way we also obtain new characterizations of these classes of distributions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Probability and Risk Models
