Stochastic regularization effects of semi-martingales on random functions
Romain Duboscq (INSA Toulouse, IMT), Anthony R\'eveillac (INSA, Toulouse, IMT)

TL;DR
This paper extends the Itô-Tanaka trick to random functions by developing new results on Fokker-Planck SPDEs and BSPDEs, addressing an open question in stochastic regularization effects.
Contribution
It introduces a generalized Itô-Tanaka trick for random functions and provides new theoretical results on Fokker-Planck SPDEs and BSPDEs.
Findings
Extended the Itô-Tanaka trick to random mappings
Derived new results on Fokker-Planck SPDEs and BSPDEs
Addressed an open question in stochastic regularization
Abstract
In this paper we address an open question formulated in [17]. That is, we extend the It{\^o}-Tanaka trick, which links the time-average of a deterministic function f depending on a stochastic process X and F the solution of the Fokker-Planck equation associated to X, to random mappings f. To this end we provide new results on a class of adpated and non-adapted Fokker-Planck SPDEs and BSPDEs.
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 · Risk and Portfolio Optimization · Financial Risk and Volatility Modeling
