Structure of infinitely divisible semimartingales
Andreas Basse-O'Connor, Jan Rosinski

TL;DR
This paper provides a comprehensive characterization and decomposition of infinitely divisible semimartingales, extending classical Gaussian results and analyzing their jump structures and stationary increments.
Contribution
It introduces a new approach combining series decompositions and jump analysis to characterize infinitely divisible semimartingales explicitly.
Findings
Explicit decomposition of infinitely divisible semimartingales
Characterization of semimartingale property for stationary increment processes
Extension of classical Gaussian semimartingale theorems
Abstract
This paper gives a complete characterization of infinitely divisible semimartingales, i.e., semimartingales whose finite dimensional distributions are infinitely divisible. An explicit and essentially unique decomposition of such semimartingales is obtained. A new approach, combining series decompositions of infinitely divisible processes with detailed analysis of their jumps, is presented. As an ilustration of the main result, the semimartingale property is explicitely determined for a large class of stationary increment processes and several examples of processes of interest are considered. These results extend Stricker's theorem characterizing Gaussian semimartingales and Knight's theorem describing Gaussian moving average semimartingales, in particular.
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 · Banking stability, regulation, efficiency
