Sandwiched SDEs with unbounded drift driven by Hölder noises

Author:

Di Nunno Giulia,Mishura Yuliya,Yurchenko-Tytarenko Anton

Abstract

AbstractWe study a stochastic differential equation with an unbounded drift and general Hölder continuous noise of order $\lambda \in (0,1)$ . The corresponding equation turns out to have a unique solution that, depending on a particular shape of the drift, either stays above some continuous function or has continuous upper and lower bounds. Under some mild assumptions on the noise, we prove that the solution has moments of all orders. In addition, we provide its connection to the solution of some Skorokhod reflection problem. As an illustration of our results and motivation for applications, we also suggest two stochastic volatility models which we regard as generalizations of the CIR and CEV processes. We complete the study by providing a numerical scheme for the solution.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Statistics and Probability

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Power law in Sandwiched Volterra Volatility model;Modern Stochastics: Theory and Applications;2024

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3. On the Analysis of Ait-Sahalia-Type Model for Rough Volatility Modelling;Journal of Theoretical Probability;2023-06-13

4. Drift-implicit Euler scheme for sandwiched processes driven by Hölder noises;Numerical Algorithms;2022-10-27

5. Stochastic Differential Equations Driven by Additive Volterra–Lévy and Volterra–Gaussian Noises;Springer Proceedings in Mathematics & Statistics;2022

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