Anticipating backward stochastic Volterra integral equations
Jiaqiang Wen, Yufeng Shi

TL;DR
This paper introduces anticipating backward stochastic Volterra integral equations (BSVIEs), analyzing their properties and establishing existence, uniqueness, and comparison theorems for solutions involving future and present values.
Contribution
The paper presents the first study of anticipating BSVIEs, extending classical BSVIE theory to include future-dependent generators and proving fundamental solution properties.
Findings
Existence and uniqueness of solutions for anticipating BSVIEs
Comparison theorem for solutions of anticipating BSVIEs
Extension of BSVIE theory to future-dependent generators
Abstract
We introduce and study a new type of integral equations called anticipating backward stochastic Volterra integral equations (anticipating BSVIEs). In these equations the generator involves not only the present values but also the future values of the solutions. We obtain the existence and uniqueness theorem and a comparison theorem for the solutions to these anticipating BSVIEs.
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 · Nonlinear Differential Equations Analysis · Fractional Differential Equations Solutions
