Stochastic Differential Equations Driven by Fractional Brownian Motion and Standard Brownian Motion
Jo\~ao Guerra, David Nualart

TL;DR
This paper establishes existence and uniqueness of solutions for multidimensional stochastic differential equations driven by both fractional Brownian motion with H>1/2 and standard Brownian motion, using fractional integration and Ito calculus.
Contribution
It provides the first combined analysis of SDEs driven simultaneously by fractional and standard Brownian motions with a rigorous proof of existence and uniqueness.
Findings
Proves existence and uniqueness of solutions for the combined SDEs.
Develops a priori estimates using fractional integration methods.
Utilizes Yamada-Watanabe theorem for the existence proof.
Abstract
We prove an existence and uniqueness theorem for solutions of multidimensional, time dependent, stochastic differential equations driven simultaneously by a multidimensional fractional Brownian motion with Hurst parameter H>1/2 and a multidimensional standard Brownian motion. The proof relies on some a priori estimates, which are obtained using the methods of fractional integration, and the classical Ito stochastic calculus. The existence result is based on the Yamada-Watanabe theorem.
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 · Complex Systems and Time Series Analysis
