Selfdecomposability of Weak Variance Generalised Gamma Convolutions
Boris Buchmann, Kevin W. Lu, Dilip B. Madan

TL;DR
This paper investigates the self-decomposability of weak variance generalized gamma convolution processes, extending known results from strong to weak subordination and establishing necessary conditions under moment assumptions.
Contribution
It extends the theory of self-decomposability to weakly subordinated processes and clarifies the role of moment conditions on the Thorin measure.
Findings
Driftless Brownian motion leads to self-decomposable processes under weak subordination.
Moment conditions on the Thorin measure are necessary for self-decomposability.
Application to weak variance alpha-gamma process demonstrates the theoretical results.
Abstract
Weak variance generalised gamma convolution processes are multivariate Brownian motions weakly subordinated by multivariate Thorin subordinators. Within this class, we extend a result from strong to weak subordination that a driftless Brownian motion gives rise to a self-decomposable process. Under moment conditions on the underlying Thorin measure, we show that this condition is also necessary. We apply our results to some prominent processes such as the weak variance alpha-gamma process, and illustrate the necessity of our moment conditions in some cases.
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
