activity
20202024
most citedWeak Markovian Approximations of Rough Heston

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.PR2024

State spaces of multifactor approximations of nonnegative Volterra processes

Eduardo Abi Jaber, Christian Bayer, Simon Breneis

We show that the state spaces of multifactor Markovian processes, coming from approximations of nonnegative Volterra processes, are given by explicit linear transformation of the n…

q-fin.CP2023

Efficient option pricing in the rough Heston model using weak simulation schemes

Christian Bayer, Simon Breneis

We provide an efficient and accurate simulation scheme for the rough Heston model in the standard () as well as the hyper-rough regime (). The scheme is based on low…

q-fin.CP2023★ 2 cited

Weak Markovian Approximations of Rough Heston

Christian Bayer, Simon Breneis

The rough Heston model is a very popular recent model in mathematical finance; however, the lack of Markov and semimartingale properties poses significant challenges in both theory…

math.NA2023

An Adaptive Algorithm for Rough Differential Equations

Christian Bayer, Simon Breneis, Terry Lyons

We present an adaptive algorithm for effectively solving rough differential equations (RDEs) using the log-ODE method. The algorithm is based on an error representation formula tha…

q-fin.CP2021

Markovian approximations of stochastic Volterra equations with the fractional kernel

Christian Bayer, Simon Breneis

We consider rough stochastic volatility models where the variance process satisfies a stochastic Volterra equation with the fractional kernel, as in the rough Bergomi and the rough…

math.CA2020

On variation functions and their moduli of continuity

Simon Breneis

We study the moduli of continuity of functions of bounded variation and of their variation functions. It is easy to see that the modulus of continuity of a function of bounded vari…