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The stochastic-alpha-beta-rho (SABR) model has been widely adopted in options trading. In particular, the normal ($\beta=0$) SABR model is a popular model choice for interest rates because it allows negative asset values. The option price…

Pricing of Securities · Quantitative Finance 2023-01-10 Jaehyuk Choi , Byoung Ki Seo

We develop a non-parametric, semimartingale optimal transport, calibration methodology for local volatility models with stochastic interest rate. The method finds a fully calibrated model which is the closest, in a way that can be defined…

Mathematical Finance · Quantitative Finance 2025-05-08 Benjamin Joseph , Gregoire Loeper , Jan Obloj

We extend the approach of Carr, Itkin and Muravey, 2021 for getting semi-analytical prices of barrier options for the time-dependent Heston model with time-dependent barriers by applying it to the so-called $\lambda$-SABR stochastic…

Pricing of Securities · Quantitative Finance 2021-09-07 Andrey Itkin , Dmitry Muravey

In this paper, we consider three stochastic-volatility models, each characterized by distinct dynamics of instantaneous volatility: (1) a CIR process for squared volatility (i.e., the classical Heston model); (2) a mean-reverting lognormal…

Pricing of Securities · Quantitative Finance 2025-10-14 V. Perederiy

We present an Hilbert space formulation for a set of implied volatility models introduced in \cite{BraceGoldys01} in which the authors studied conditions for a family of European call options, varying the maturing time and the strike price…

Computational Finance · Quantitative Finance 2008-12-10 A. Brace , G. Fabbri , B. Goldys

We present an arbitrage-free non-parametric yield curve prediction model which takes the full (discretized) yield curve as state variable. We believe that absence of arbitrage is an important model feature in case of highly correlated data,…

Pricing of Securities · Quantitative Finance 2012-03-12 Josef Teichmann , Mario V. Wüthrich

We derive an explicit asymptotic approximation for implied volatilities of caplets under the assumption that the short-rate is described by a generic quadratic term-structure model. In addition to providing an asymptotic accuracy result, we…

Mathematical Finance · Quantitative Finance 2022-12-09 Matthew Lorig , Natchanon Suaysom

We present a new methodology to analyze large classes of (classical and rough) stochastic volatility models, with special regard to short-time and small noise formulae for option prices. Our main tool is the theory of regularity structures,…

Pricing of Securities · Quantitative Finance 2021-07-30 Peter K. Friz , Paul Gassiat , Paolo Pigato

This paper proposes two approaches that quantify the exact relationship among the viability, the absence of arbitrage, and/or the existence of the num\'eraire portfolio under minimal assumptions and for general continuous-time market…

General Finance · Quantitative Finance 2014-06-20 Tahir Choulli , Jun Deng , Junfeng Ma

In the paper, we characterize the asymptotic behavior of the implied volatility of a basket call option at large and small strikes in a variety of settings with increasing generality. First, we obtain an asymptotic formula with an error…

Pricing of Securities · Quantitative Finance 2014-06-03 Archil Gulisashvili , Peter Tankov

For the calibration of the parameters in static and dynamic SABR stochastic volatility models, we propose the application of the GPU technology to the Simulated Annealing global optimization algorithm and to the Monte Carlo simulation. This…

Optimization and Control · Mathematics 2024-08-01 J. L. Fernández , A. M. Ferreiro , J. A. García , A. Leitao , J. G. López-Salas , C. Vázquez

The SABR model is a benchmark stochastic volatility model in interest rate markets, which has received much attention in the past decade. Its popularity arose from a tractable asymptotic expansion for implied volatility, derived by heat…

Mathematical Finance · Quantitative Finance 2017-07-27 Leif Doering , Blanka Horvath , Josef Teichmann

In the context of the Heston model, we establish a precise link between the set of equivalent martingale measures, the ergodicity of the underlying variance process and the concept of asymptotic arbitrage proposed in Kabanov-Kramkov and in…

Pricing of Securities · Quantitative Finance 2014-04-04 Fatma Haba , Antoine Jacquier

This paper advances interest rate modeling in the post-LIBOR era by introducing rough stochastic volatility into the Forward Market Model (FMM). We establish a rigorous asymptotic expansion of swaption implied volatility, connecting the FMM…

Mathematical Finance · Quantitative Finance 2025-10-01 Reo Adachi , Masaaki Fukasawa , Naoki Iida , Mitsumasa Ikeda , Yo Nakatsu , Ryota Tsurumi , Tomohisa Yamakami

In a model driven by a multi-dimensional local diffusion, we study the behavior of implied volatility {\sigma} and its derivatives with respect to log-strike k and maturity T near expiry and at the money. We recover explicit limits of these…

Probability · Mathematics 2016-10-06 Stefano Pagliarani , Andrea Pascucci

We provide a Fundamental Theorem of Asset Pricing and a Superhedging Theorem for a model independent discrete time financial market with proportional transaction costs. We consider a probability-free version of the Robust No Arbitrage…

Mathematical Finance · Quantitative Finance 2016-08-26 Matteo Burzoni

Sparked by Al\`os, Le\'on, and Vives (2007); Fukasawa (2011, 2017); Gatheral, Jaisson, and Rosenbaum (2018), so-called rough stochastic volatility models such as the rough Bergomi model by Bayer, Friz, and Gatheral (2016) constitute the…

Pricing of Securities · Quantitative Finance 2018-10-09 Christian Bayer , Benjamin Stemper

It is well know that, in the short maturity limit, the implied volatility approaches the integral harmonic mean of the local volatility with respect to log-strike, see [Berestycki et al., Asymptotics and calibration of local volatility…

Pricing of Securities · Quantitative Finance 2020-07-08 Stefano De Marco

In many areas of science, complex phenomena are modeled by stochastic parametric simulators, often featuring high-dimensional parameter spaces and intractable likelihoods. In this context, performing Bayesian inference can be challenging.…

Machine Learning · Computer Science 2021-11-10 François Rozet , Gilles Louppe

In order to overcome the drawbacks of assuming deterministic volatility coefficients in the standard LIBOR market models to capture volatility smiles and skews in real markets, several extensions of LIBOR models to incorporate stochastic…

Pricing of Securities · Quantitative Finance 2024-08-06 A. M. Ferreiro , J. A. García , J. G. López-Salas , C. Vázquez