Stochastic viability and comparison theorems for mixed stochastic differential equations
Alexander Melnikov, Yuliya Mishura, Georgiy Shevchenko

TL;DR
This paper establishes viability and comparison theorems for mixed stochastic differential equations involving Wiener and H"older processes, with applications to option pricing.
Contribution
It introduces new stochastic viability and comparison theorems for mixed SDEs with H"older continuous processes, extending existing results.
Findings
Proved a stochastic viability theorem for mixed SDEs.
Derived a pathwise comparison theorem.
Applied results to estimate option prices.
Abstract
For a mixed stochastic differential equation containing both Wiener process and a H\"older continuous process with exponent , we prove a stochastic viability theorem. As a consequence, we get a result about positivity of solution and a pathwise comparison theorem. An application to option price estimation is given.
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