Bivariate Bernstein-gamma functions, potential measures, and asymptotics of exponential functionals of L\'evy processes
Martin Minchev, Mladen Savov

TL;DR
This paper analyzes the asymptotic behavior of exponential functionals of Lévy processes, providing new bounds, convergence results, and a novel approach using Mellin inversion and Bernstein-gamma functions, advancing the theoretical understanding of these stochastic processes.
Contribution
It introduces a new methodology combining Mellin inversion and Bernstein-gamma functions to study exponential functionals of Lévy processes, with generalizations and improved results over existing literature.
Findings
Derived upper bounds on decay rates of expected functionals
Established weak convergence of rescaled exponential functionals
Linked Bernstein-gamma functions to q-potentials of Lévy processes
Abstract
Let be a L\'{e}vy process and , be the exponential functional of L\'{e}vy processes on deterministic horizon. Given that we evaluate for general functions an upper bound on the rate of decay of based on an explicit integral criterion. When and is regularly varying of index at infinity, we show that the law of , suitably normed and rescaled, converges weakly to a probability measure stemming from a new generalisation of the product factorisation of classical exponential functionals. These results substantially improve upon the existing literature and are obtained via a novel combination between Mellin inversion of the Laplace transform of…
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 · Mathematical functions and polynomials · Financial Risk and Volatility Modeling
