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Related papers: Arbitrage-free SVI volatility surfaces

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In this article we propose a generalisation of the recent work of Gatheral and Jacquier on explicit arbitrage-free parameterisations of implied volatility surfaces. We also discuss extensively the notion of arbitrage freeness and Roger…

Pricing of Securities · Quantitative Finance 2018-06-05 Gaoyue Guo , Antoine Jacquier , Claude Martini , Leo Neufcourt

The article describes a global and arbitrage-free parametrization of the eSSVI surfaces introduced by Hendriks and Martini in 2019. A robust calibration of such surfaces has already been proposed by the quantitative research team at Zeliade…

Mathematical Finance · Quantitative Finance 2022-04-04 Arianna Mingone

We propose a new static parameterization of the implied volatility surface which is constructed by using polynomials of sigmoid functions combined with some other terms. This parameterization is flexible enough to fit market implied…

Mathematical Finance · Quantitative Finance 2014-12-09 Andrey Itkin

We describe a robust calibration algorithm of a set of SSVI slices (i.e. a set of 3 SSVI parameters $\theta, \rho, \varphi$ attached to each option maturity available on the market), which grants that these slices are free of Butterfly and…

Computational Finance · Quantitative Finance 2019-03-05 Pierre Cohort , Jacopo Corbetta , Claude Martini , Ismail Laachir

We present a simple, numerically efficient but highly flexible non-parametric method to construct representations of option price surfaces which are both smooth and strictly arbitrage-free across time and strike. The method can be viewed as…

Computational Finance · Quantitative Finance 2026-05-25 Hans Buehler , Blanka Horvath , Anastasis Kratsios , Yannick Limmer , Raeid Saqur

It is a market practice to express market-implied volatilities in some parametric form. The most popular parametrizations are based on or inspired by an underlying stochastic model, like the Heston model (SVI method) or the SABR model (SABR…

Mathematical Finance · Quantitative Finance 2026-01-06 Nicola F. Zaugg , Leonardo Perotti , Lech A. Grzelak

We develop a dynamic version of the SSVI parameterisation for the total implied variance, ensuring that European vanilla option prices are martingales, hence preventing the occurrence of arbitrage, both static and dynamic. Insisting on the…

Pricing of Securities · Quantitative Finance 2021-02-03 Mehdi El Amrani , Antoine Jacquier , Claude Martini

We consider the classical problem of building an arbitrage-free implied volatility surface from bid-ask quotes. We design a fast numerical procedure, for which we prove the convergence, based on the Sinkhorn algorithm that has been recently…

Computational Finance · Quantitative Finance 2023-07-18 Hadrien De March , Pierre Henry-Labordere

The no Butterfly arbitrage domain of Gatheral SVI 5-parameters formula for the volatility smile has been recently described. It requires in general a numerical minimization of 2 functions altogether with a few root finding procedures. We…

Mathematical Finance · Quantitative Finance 2021-06-07 Claude Martini , Arianna Mingone

The implied volatility surface (IVS) is a fundamental building block in computational finance. We provide a survey of methodologies for constructing such surfaces. We also discuss various topics which can influence the successful…

Computational Finance · Quantitative Finance 2011-07-12 Cristian Homescu

We study the reconstruction of implied volatility surfaces from sparse and noisy option quotes using deep learning models under no-arbitrage constraints. We compare multiple neural architectures, including multilayer perceptrons,…

Computational Finance · Quantitative Finance 2026-05-26 Pablo Rodriguez Manzi

The stochastic volatility inspired (SVI) model is widely used to fit the implied variance smile. Presently, most optimizer algorithms for the SVI model have a strong dependence on the input starting point. In this study, we develop an…

Mathematical Finance · Quantitative Finance 2023-01-20 Shuzhen Yang , Wenqing Zhang

This paper is devoted to the application of B-splines to volatility modeling, specifically the calibration of the leverage function in stochastic local volatility models and the parameterization of an arbitrage-free implied volatility…

Computational Finance · Quantitative Finance 2015-06-16 Sylvain Corlay

In this work I test two calibration algorithms for the eSSVI volatility surface. The two algorithms are (i) the robust calibration algorithm proposed in Corbetta et al. (2019) and (ii) the calibration algorithm in Mingone (2022). For the…

Applications · Statistics 2023-04-12 Leo Pasquazzi

We propose a two-step framework for predicting the implied volatility surface over time without static arbitrage. In the first step, we select features to represent the surface and predict them over time. In the second step, we use the…

Statistical Finance · Quantitative Finance 2022-01-04 Wenyong Zhang , Lingfei Li , Gongqiu Zhang

A volatility surface is an important tool for pricing and hedging derivatives. The surface shows the volatility that is implied by the market price of an option on an asset as a function of the option's strike price and maturity. Often,…

Computational Finance · Quantitative Finance 2021-02-09 Maxime Bergeron , Nicholas Fung , John Hull , Zissis Poulos

This paper gives an arbitrage-free prediction for future prices of an arbitrary co-terminal set of options with a given maturity, based on the observed time series of these option prices. The statistical analysis of such a multi-dimensional…

Pricing of Securities · Quantitative Finance 2014-07-22 Petros Dellaportas , Aleksandar Mijatović

In the Black-Scholes model, the absence of arbitrages imposes necessary constraints on the slope of the implied variance in terms of log-moneyness, asymptotically for large log-moneyness. The constraints are used for example in the SVI…

Pricing of Securities · Quantitative Finance 2023-04-27 Fabien Le Floc'h , Winfried Koller

We consider stochastic volatility models using piecewise constant parameters. We suggest a hybrid optimization algorithm for fitting the models to a volatility surface and provide some numerical results. Finally, we provide an outlook on…

Pricing of Securities · Quantitative Finance 2010-10-07 Wolfgang Putschoegl

We construct realistic spot and equity option market simulators for a single underlying on the basis of normalizing flows. We address the high-dimensionality of market observed call prices through an arbitrage-free autoencoder that…

Computational Finance · Quantitative Finance 2021-12-14 Magnus Wiese , Ben Wood , Alexandre Pachoud , Ralf Korn , Hans Buehler , Phillip Murray , Lianjun Bai
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