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Related papers: The Alpha-Heston Stochastic Volatility Model

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We study the Heston model for pricing European options on stocks with stochastic volatility. This is a Black\--Scholes\--type equation whose spatial domain for the logarithmic stock price $x\in \RR$ and the variance $v\in (0,\infty)$ is the…

Analysis of PDEs · Mathematics 2017-11-15 Bénédicte Alziary , Peter Takáč

We obtain a decomposition of the call option price for a very general stochastic volatility diffusion model extending the decomposition obtained by E. Al\`os in [2] for the Heston model. We realize that a new term arises when the stock…

Mathematical Finance · Quantitative Finance 2015-03-30 Raul Merino , Josep Vives

This paper presents a novel one-factor stochastic volatility model where the instantaneous volatility of the asset log-return is a diffusion with a quadratic drift and a linear dispersion function. The instantaneous volatility mean reverts…

Mathematical Finance · Quantitative Finance 2019-08-21 Peter Carr , Sander Willems

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

Based on a criterion of mathematical simplicity and consistency with empirical market data, a stochastic volatility model has been obtained with the volatility process driven by fractional noise. Depending on whether the stochasticity…

Statistical Finance · Quantitative Finance 2015-06-05 R. Vilela Mendes , M. J. Oliveira , A. M. Rodrigues

This study provides a consistent and efficient pricing method for both Standard & Poor's 500 Index (SPX) options and the Chicago Board Options Exchange's Volatility Index (VIX) options under a multiscale stochastic volatility model. To…

Mathematical Finance · Quantitative Finance 2019-09-24 Jaegi Jeon , Geonwoo Kim , Jeonggyu Huh

Based on criteria of mathematical simplicity and consistency with empirical market data, a stochastic volatility model is constructed, the volatility process being driven by fractional noise. Price return statistics and asymptotic behavior…

Probability · Mathematics 2008-12-02 Rui Vilela Mendes , M. J. Oliveira

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

We introduce a new class of continuous-time models of the stochastic volatility of asset prices. The models can simultaneously incorporate roughness and slowly decaying autocorrelations, including proper long memory, which are two stylized…

Statistical Finance · Quantitative Finance 2021-01-06 Mikkel Bennedsen , Asger Lunde , Mikko S. Pakkanen

We provide a detailed importance sampling analysis for variance reduction in stochastic volatility models. The optimal change of measure is obtained using a variety of results from large and moderate deviations: small-time, large-time,…

Pricing of Securities · Quantitative Finance 2021-11-02 Marc Geha , Antoine Jacquier , Zan Zuric

In this paper we derive a generic decomposition of the option pricing formula for models with finite activity jumps in the underlying asset price process (SVJ models). This is an extension of the well-known result by Alos (2012) for Heston…

Pricing of Securities · Quantitative Finance 2019-06-18 Raul Merino , Jan Pospíšil , Tomáš Sobotka , Josep Vives

How to reconcile the classical Heston model with its rough counterpart? We introduce a lifted version of the Heston model with n multi-factors, sharing the same Brownian motion but mean reverting at different speeds. Our model nests as…

Computational Finance · Quantitative Finance 2019-11-25 Eduardo Abi Jaber

We introduce a generalisation of the well-known ARCH process, widely used for generating uncorrelated stochastic time series with long-term non-Gaussian distributions and long-lasting correlations in the (instantaneous) standard deviation…

Statistical Finance · Quantitative Finance 2011-04-12 Silvio M. Duarte Queiros , Evaldo M. F. Curado , Fernando D. Nobre

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and…

Mathematical Finance · Quantitative Finance 2016-09-08 Omar El Euch , Mathieu Rosenbaum

This paper deals with an extension of the so-called Black-Scholes model in which the volatility is modeled by a linear combination of the components of the solution of a differential equation driven by a fractional Brownian motion of Hurst…

Probability · Mathematics 2016-08-30 Nicolas Marie

In this manuscript we analyze the weak convergence rate of a discretization scheme for the Heston model. Under mild assumptions on the smoothness of the payoff and on the Feller index of the volatility process, respectively, we establish a…

Numerical Analysis · Mathematics 2016-04-20 Martin Altmayer , Andreas Neuenkirch

A class of stochastic individual-based models, written in terms of coupled velocity jump processes, is presented and analysed. This modelling approach incorporates recent experimental findings on behaviour of locusts. It exhibits nontrivial…

Analysis of PDEs · Mathematics 2011-04-14 Radek Erban , Jan Haskovec

We consider call option prices in diffusion models close to expiry, in an asymptotic regime ("moderately out of the money") that interpolates between the well-studied cases of at-the-money options and out-of-the-money fixed-strike options.…

Pricing of Securities · Quantitative Finance 2016-04-06 Peter Friz , Stefan Gerhold , Arpad Pinter

We analyse a period spanning 35 years of activity in the Sao Paulo Stock Exchange Index (IBOVESPA) and show that the Heston model with stochastic volatility is capable of explaining price fluctuations for time scales ranging from 5 minutes…

Statistical Mechanics · Physics 2008-12-02 Renato Vicente , Charles M. de Toledo , Vitor B. P. Leite , Nestor Caticha

A small-time Edgeworth expansion of the density of an asset price is given under a general stochastic volatility model, from which asymptotic expansions of put option prices and at-the-money implied volatilities follow. A limit theorem for…

Computational Finance · Quantitative Finance 2019-03-25 Omar El Euch , Masaaki Fukasawa , Jim Gatheral , Mathieu Rosenbaum
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