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We consider risk-neutral returns and show how their tail asymptotics translate directly to asymptotics of the implied volatility smile, thereby sharpening Roger Lee's celebrated moment formula. The theory of regular variation provides the…

Probability · Mathematics 2007-05-23 Shalom Benaim , Peter Friz

We provide explicit conditions on the distribution of risk-neutral log-returns which yield sharp asymptotic estimates on the implied volatility smile. We allow for a variety of asymptotic regimes, including both small maturity (with…

Pricing of Securities · Quantitative Finance 2016-07-08 Francesco Caravenna , Jacopo Corbetta

We investigate the asymptotic behaviour of the implied volatility in the Bachelier setting, extending the large-strike results established for the Black-Scholes framework. Exploiting the theory of regular variation, we derive explicit…

Pricing of Securities · Quantitative Finance 2026-02-24 Roberto Baviera , Michele Domenico Massaria

We prove here a general closed-form expansion formula for forward-start options and the forward implied volatility smile in a large class of models, including the Heston stochastic volatility and time-changed exponential L\'evy models. This…

Pricing of Securities · Quantitative Finance 2015-02-05 Antoine Jacquier , Patrick Roome

A new expression for the characteristic function of log-spot in Heston model is presented. This expression more clearly exhibits its properties as an analytic characteristic function and allows us to compute the exact domain of the moment…

Probability · Mathematics 2009-02-13 Sebastian del Baño Rollin , Albert Ferreiro-Castilla , Frederic Utzet

We consider the at-the-money strike derivative of implied volatility as the maturity tends to zero. Our main results quantify the behavior of the slope for infinite activity exponential L\'evy models including a Brownian component. As…

Pricing of Securities · Quantitative Finance 2016-05-31 Stefan Gerhold , I. Cetin Gülüm , Arpad Pinter

We give an explicit formula for the probability distribution based on a relativistic extension of Brownian motion. The distribution 1) is properly normalized and 2) obeys the tower law (semigroup property), so we can construct martingales…

Mathematical Finance · Quantitative Finance 2017-03-08 Zura Kakushadze

We consider a stochastic volatility model which captures relevant stylized facts of financial series, including the multi-scaling of moments. The volatility evolves according to a generalized Ornstein-Uhlenbeck processes with super-linear…

Probability · Mathematics 2017-07-07 Francesco Caravenna , Jacopo Corbetta

In this paper, we obtain asymptotic formulas with error estimates for the implied volatility associated with a European call pricing function. We show that these formulas imply Lee's moment formulas for the implied volatility and the…

Pricing of Securities · Quantitative Finance 2009-06-03 A. Gulisashvili

In this paper, we study the asymptotic behaviors of implied volatility of an affine jump-diffusion model. Let log stock price under risk-neutral measure follow an affine jump-diffusion model, we show that an explicit form of moment…

Mathematical Finance · Quantitative Finance 2020-05-11 Nian Yao , Zhiqiu Li , Zhichao Ling , Junfeng Lin

It is known that Heston's stochastic volatility model exhibits moment explosion, and that the critical moment $s_+$ can be obtained by solving (numerically) a simple equation. This yields a leading order expansion for the implied volatility…

Pricing of Securities · Quantitative Finance 2010-11-15 P. Friz , S. Gerhold , A. Gulisashvili , S. Sturm

We consider the fractional Heston model originally proposed by Comte, Coutin and Renault. Inspired by recent ground-breaking work on rough volatility, which showed that models with volatility driven by fractional Brownian motion with short…

Mathematical Finance · Quantitative Finance 2017-08-10 Hamza Guennoun , Antoine Jacquier , Patrick Roome , Fangwei Shi

We present sharp tail asymptotics for the density and the distribution function of linear combinations of correlated log-normal random variables, that is, exponentials of components of a correlated Gaussian vector. The asymptotic behavior…

Probability · Mathematics 2016-01-07 Archil Gulisashvili , Peter Tankov

We characterize the behaviour of the Rough Heston model introduced by Jaisson\&Rosenbaum \cite{JR16} in the small-time, large-time and $\alpha \to 1/2$ (i.e. $H\to 0$) limits. We show that the short-maturity smile scales in qualitatively…

Pricing of Securities · Quantitative Finance 2020-10-05 Martin Forde , Stefan Gerhold , Benjamin Smith

We study the shapes of the implied volatility when the underlying distribution has an atom at zero and analyse the impact of a mass at zero on at-the-money implied volatility and the overall level of the smile. We further show that the…

Pricing of Securities · Quantitative Finance 2017-05-04 Stefano De Marco , Caroline Hillairet , Antoine Jacquier

We extend upon the saddle-point equation presented in [1] to derive large-time model-implied volatility smiles, providing its theoretical foundation and studying its applications in classical models. As long as characteristic function…

Mathematical Finance · Quantitative Finance 2022-12-13 Chun Yat Yeung , Ali Hirsa

In this paper, we introduce a new time series model having a stochastic exponential tail. This model is constructed based on the Normal Tempered Stable distribution with a time-varying parameter. The model captures the stochastic…

Computational Finance · Quantitative Finance 2023-03-23 Young Shin Kim , Kum-Hwan Roh , Raphael Douady

We provide a full characterisation of the large-maturity forward implied volatility smile in the Heston model. Although the leading decay is provided by a fairly classical large deviations behaviour, the algebraic expansion providing the…

Pricing of Securities · Quantitative Finance 2015-08-31 Antoine Jacquier , Patrick Roome

We propose a randomised version of the Heston model-a widely used stochastic volatility model in mathematical finance-assuming that the starting point of the variance process is a random variable. In such a system, we study the small-and…

Pricing of Securities · Quantitative Finance 2018-12-07 Antoine Jacquier , Fangwei Shi

In the Black-Scholes context we consider the probability distribution function (PDF) of financial returns implied by volatility smile and we study the relation between the decay of its tails and the fitting parameters of the smile. We show…

Pricing of Securities · Quantitative Finance 2010-10-12 L. Spadafora , G. P. Berman , F. Borgonovi
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