activity
20062025
most citedAsymptotics for rough stochastic volatility models

88 citations · 182 across the 11 of their papers we have counts for

collaborators

11 papers

math.PR2025

Lévy processes as weak limits of rough Heston models

Alessandro Bondi, Martin Forde

We show weak convergence of the time- marginals for the integrated variance in a re-scaled rough Heston model to an Inverse Gaussian Lévy process. This shows we can obtain such…

q-fin.PR2019★ 1 cited

Small-time, large-time and asymptotics for the Rough Heston model

Martin Forde, Stefan Gerhold, Benjamin Smith

We characterize the behaviour of the Rough Heston model introduced by Jaisson\&Rosenbaum \cite{JR16} in the small-time, large-time and (i.e. ) limits. We show th…

q-fin.PR2016★ 88 cited

Asymptotics for rough stochastic volatility models

Martin Forde, Hongzhong Zhang

Using the large deviation principle (LDP) for a re-scaled fractional Brownian motion where the rate function is defined via the reproducing kernel Hilbert space, we compute…

q-fin.PR2016★ 1 cited

Small-time asymptotics for basket options -- the bi-variate SABR model and the hyperbolic heat kernel on

Martin Forde, Hongzhong Zhang

We compute a sharp small-time estimate for the price of a basket call under a bi-variate SABR model with both parameters equal to and three correlation parameters, which ex…

math.PR2014★ 10 cited

Large deviations for the boundary local time of doubly reflected Brownian Motion

Martin Forde, Rohini Kumar, Hongzhong Zhang

We compute a closed-form expression for the moment generating function , where is the local time at zero for standard Brownian…

q-fin.PR2013★ 7 cited

Small-time asymptotics for a general local-stochastic volatility model with a jump-to-default: curvature and the heat kernel expansion

John Armstrong, Martin Forde, Matthew Lorig +1

We compute a sharp small-time estimate for implied volatility under a general uncorrelated local-stochastic volatility model. For this we use the Bellaiche \cite{Bel81} heat kernel…