activity
20102022
most citedIs Volatility Rough ?

14 citations · 21 across the 8 of their papers we have counts for

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14 papers

q-fin.CP2022

On the weak convergence rate in the discretization of rough volatility models

Christian Bayer, Masaaki Fukasawa, Shonosuke Nakahara

We study the weak convergence rate in the discretization of rough volatility models. After showing a lower bound under a general model, where is the Hurst index of the vol…

q-fin.MF2022

On asymptotically arbitrage-free approximations of the implied volatility

Masaaki Fukasawa

Following-up Fukasawa and Gatheral (Frontiers of Mathematical Finance, 2022), we prove that the BBF formula, the SABR formula, and the rough SABR formula provide asymptotically arb…

q-fin.MF2021

A rough SABR formula

Masaaki Fukasawa, Jim Gatheral

Following an approach originally suggested by Balland in the context of the SABR model, we derive an ODE that is satisfied by normalized volatility smiles for short maturities unde…

q-fin.MF2021

Hedging under rough volatility

Masaaki Fukasawa, Blanka Horvath, Peter Tankov

In this chapter we first briefly review the existing approaches to hedging in rough volatility models. Next, we present a simple but general result which shows that in a one-factor…

q-fin.MF2021

Super-replication with transaction costs under model uncertainty for continuous processes

Huy N. Chau, Masaaki Fukasawa, Miklos Rasonyi

We formulate a superhedging theorem in the presence of transaction costs and model uncertainty. Asset prices are assumed continuous and uncertainty is modelled in a parametric sett…

math.PR2020

Realized cumulants for martingales

Masaaki Fukasawa, Kazuki Matsushita

Generalizing the realized variance, the realized skewness (Neuberger, 2012) and the realized kurtosis (Bae and Lee, 2020), we construct realized cumulants with the so-called aggreg…