On the positivity of local mild solutions to stochastic evolution equations
Carlo Marinelli, Luca Scarpa

TL;DR
This paper establishes conditions under which solutions to certain stochastic evolution equations remain positive, with applications to financial models like the Heath-Jarrow-Morton framework.
Contribution
It provides new sufficient conditions for the positivity of mild solutions to stochastic evolution equations on Hilbert spaces, including applications to financial modeling.
Findings
Positivity of solutions is guaranteed under specific coefficient conditions.
Application to the Heath-Jarrow-Morton model confirms positivity of forward rates.
Framework can be used for other stochastic PDEs with positivity constraints.
Abstract
We provide sufficient conditions on the coefficients of a stochastic evolution equation on a Hilbert space of functions driven by a cylindrical Wiener process ensuring that its mild solution is positive if the initial datum is positive. As an application, we discuss the positivity of forward rates in the Heath-Jarrow-Morton model via Musiela's stochastic PDE.
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 · advanced mathematical theories · Financial Risk and Volatility Modeling
