5 citations · 9 across the 10 of their papers we have counts for
4 papers · 1 filter
Optimal Stopping via Distribution Regression: a Higher Rank Signature Approach
Blanka Horvath, Maud Lemercier, Chong Liu +2
Distribution Regression on path-space refers to the task of learning functions mapping the law of a stochastic process to a scalar target. The learning procedure based on the notio…
Functional central limit theorems for rough volatility
Blanka Horvath, Antoine Jacquier, Aitor Muguruza +1
The non-Markovian nature of rough volatility processes makes Monte Carlo methods challenging and it is in fact a major challenge to develop fast and accurate simulation algorithms.…
Asymptotic behaviour of randomised fractional volatility models
B. Horvath, A. Jacquier, C. Lacombe
We study the asymptotic behaviour of a class of small-noise diffusions driven by fractional Brownian motion, with random starting points. Different scalings allow for different asy…
On the probability of hitting the boundary for Brownian motions on the SABR plane
Archil Gulisashvili, Blanka Horvath, Antoine Jacquier
Starting from the hyperbolic Brownian motion as a time-changed Brownian motion, we explore a set of probabilistic models--related to the SABR model in mathematical finance--which c…