pith. machine review for the scientific record. sign in

arxiv: 1806.04998 · v1 · pith:J37NVMWNnew · submitted 2018-06-13 · 🧮 math.PR

Optimization of small deviation for mixed fractional Brownian motion with trend

classification 🧮 math.PR
keywords functiontrendbrownianfractionalmixedmotionprobabilitysmall
0
0 comments X
read the original abstract

In this paper, we investigate two-sided bounds for the small ball probability of a mixed fractional Brownian motion with a general deterministic trend function, in terms of respective small ball probability of a mixed fractional Brownian motion without trend. To maximize the lower bound, we consider various ways to split the trend function between the components of the mixed fractional Brownian motion for the application of Girsanov theorem, and we show that the optimal split is the solution of a Fredholm integral equation. We find that the upper bound for the probability is also a function of this optimal split. The asymptotic behaviour of the probability as the ball becomes small is analyzed for zero trend function and for the particular choice of the upper limiting function.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.