Gaussian Volterra Drivers
Giulia Di Nunno (),
Yuliya Mishura () and
Anton Yurchenko-Tytarenko ()
Additional contact information
Giulia Di Nunno: University of Oslo, Department of Mathematics
Yuliya Mishura: Taras Shevchenko National University of Kyiv, Department of Probability Theory, Statistics and Actuarial Mathematics
Anton Yurchenko-Tytarenko: Statkraft Energi AS
Chapter 6 in Volterra Volatility Models, 2026, pp 177-222 from Springer
Abstract:
Abstract In this chapter, we study sandwiched stochastic equations driven by Hölder-continuous Gaussian Volterra processes. We establish the Malliavin differentiability of their solutions as well as construct Markovian approximations of their non-Markovian dynamics. These results serve as the foundation for the numerical methods developed in Chaps. 8 and 9 .
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprfcp:978-3-032-26576-0_6
Ordering information: This item can be ordered from
http://www.springer.com/9783032265760
DOI: 10.1007/978-3-032-26576-0_6
Access Statistics for this chapter
More chapters in Springer Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().