Potential Theory of Normal Tempered Stable Process
Arun Kumar, Harsh Verma

TL;DR
This paper investigates the potential theory of normal tempered stable processes, analyzing their potential and Levy densities, and compares these with the normal inverse Gaussian process, providing asymptotic behaviors and Green functions.
Contribution
It offers new insights into the potential theory of normal tempered stable processes and extends results to the normal inverse Gaussian process.
Findings
Asymptotic behavior of potential density and Levy density analyzed.
Green function and Levy density for the process characterized.
Results extend to the normal inverse Gaussian process.
Abstract
In this article, we study the potential theory of normal tempered stable process which is obtained by time-changing the Brownian motion with a tempered stable subordinator. Precisely, we study the asymptotic behavior of potential density and Levy density associated with tempered stable subordinator and the Green function and the Levy density associated with the normal tempered stable process. We also provide the corresponding results for normal inverse Gaussian process which is a well studied process in literature.
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 · Stochastic processes and statistical mechanics · Financial Risk and Volatility Modeling
