Search Results for author: Masaaki Fukasawa

Found 7 papers, 0 papers with code

When to efficiently rebalance a portfolio

no code implementations17 Aug 2023 Masayuki Ando, Masaaki Fukasawa

A constant weight asset allocation is a popular investment strategy and is optimal under a suitable continuous model.

Model-free Hedging of Impermanent Loss in Geometric Mean Market Makers

no code implementations20 Mar 2023 Masaaki Fukasawa, Basile Maire, Marcus Wunsch

We consider Geometric Mean Market Makers -- a special type of Decentralized Exchange -- with two types of users: liquidity takers and arbitrageurs.

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

no code implementations6 Mar 2022 Christian Bayer, Masaaki Fukasawa, Shonosuke Nakahara

We study the weak convergence rate in the discretization of rough volatility models.

On asymptotically arbitrage-free approximations of the implied volatility

no code implementations8 Jan 2022 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 arbitrage-free approximations of the implied volatility under, respectively, the local volatility model, the SABR model, and the rough SABR model.

A rough SABR formula

no code implementations11 May 2021 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 under a rough volatility extension of the SABR model that extends also the rough Bergomi model.

Hedging under rough volatility

no code implementations10 May 2021 Masaaki Fukasawa, Blanka Horvath, Peter Tankov

In this chapter we first briefly review the existing approaches to hedging in rough volatility models.

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

no code implementations3 Feb 2021 Huy N. Chau, Masaaki Fukasawa, Miklos Rasonyi

We formulate a superhedging theorem in the presence of transaction costs and model uncertainty.

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