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In this paper, we develop a 4/2 stochastic volatility plus jumps model, namely, a new stochastic volatility model including the Heston model and 3/2 model as special cases. Our model is highly tractable by applying the Lie symmetries theory…

Computational Finance · Quantitative Finance 2015-11-05 Wei Lin , Shenghong Li , Xingguo Luo , Shane Chern

In this paper we derive a Bismut-Elworthy-Li type formula with respect to strong solutions to singular stochastic differential equations (SDE's) with additive noise given by a multi-dimensional fractional Brownian motion with Hurst…

Probability · Mathematics 2018-05-30 Oussama Amine , Emmanuel Coffie , Fabian Harang , Frank Proske

In previous works Avellaneda et al. pioneered the pricing and hedging of index options - products highly sensitive to implied volatility and correlation assumptions - with large deviations methods, assuming local volatility dynamics for all…

Pricing of Securities · Quantitative Finance 2022-12-16 Peter K. Friz , Thomas Wagenhofer

The non-Markovian nature of rough volatility processes makes Monte Carlo methods challenging and it is in fact a major challenge to develop fast and accurate simulation algorithms. We provide an efficient one for stochastic Volterra…

Probability · Mathematics 2023-11-14 Blanka Horvath , Antoine Jacquier , Aitor Muguruza , Andreas Sojmark

We fit the volatility fluctuations of the S&P 500 index well by a Chi distribution, and the distribution of log-returns by a corresponding superposition of Gaussian distributions. The Fourier transform of this is, remarkably, of the Tsallis…

Pricing of Securities · Quantitative Finance 2009-06-16 Petr Jizba , Hagen Kleinert , Patrick Haener

Most of the empirical studies on stochastic volatility dynamics favor the 3/2 specification over the square-root (CIR) process in the Heston model. In the context of option pricing, the 3/2 stochastic volatility model is reported to be able…

Pricing of Securities · Quantitative Finance 2015-05-01 Wendong Zheng , Pingping Zeng

We consider so-called regular invertible Gaussian Volterra processes and derive a formula for their prediction laws. Examples of such processes include the fractional Brownian motions and the mixed fractional Brownian motions. As an…

Mathematical Finance · Quantitative Finance 2017-08-11 Tommi Sottinen , Lauri Viitasaari

We construct a binomial tree model fitting all moments to the approximated geometric Brownian motion. Our construction generalizes the classical Cox-Ross-Rubinstein, the Jarrow-Rudd, and the Tian binomial tree models. The new binomial model…

Pricing of Securities · Quantitative Finance 2016-12-07 Y. S. Kim , S. Stoyanov , S. Rachev , F. Fabozzi

The integration of cryptocurrencies into institutional portfolios necessitates the adoption of robust risk modeling frameworks. This study is a part of a series of subsequent works to fine-tune model risk analysis for cryptocurrencies.…

Risk Management · Quantitative Finance 2026-01-22 Ekleen Kaur

In this paper, we show the existence of unique Malliavin differentiable solutions to SDE`s driven by a fractional Brownian motion with Hurst parameter H<1/2 and singular, unbounded drift vector fields, for which we also prove a stability…

Probability · Mathematics 2021-07-15 Emmanuel Coffie , Sindre Duedahl , Frank Proske

Change of numeraire is a classical tool in mathematical finance. Campi-Laachir-Martini established its applicability to martingale optimal transport. We note that the results of Campi-Laachir-Martini extend to the case of weak martingale…

Probability · Mathematics 2024-06-12 Mathias Beiglböck , Gudmund Pammer , Lorenz Riess

We combine the one-dimensional Monte Carlo simulation and the semi-analytical one-dimensional heat potential method to design an efficient technique for pricing barrier options on assets with correlated stochastic volatility. Our approach…

Computational Finance · Quantitative Finance 2022-02-17 Alexander Lipton , Artur Sepp

In industrial applications it is quite common to use stochastic volatility models driven by semi-martingale Markov volatility processes. However, in order to fit exactly market volatilities, these models are usually extended by adding a…

Pricing of Securities · Quantitative Finance 2022-06-22 Enrico Dall'Acqua , Riccardo Longoni , Andrea Pallavicini

We propose a method to bound the expectation of the supremum of the price process in stochastic volatility models. It can be applied, for example, to the rough Bergomi model, avoiding the need to discuss finiteness of higher moments. Our…

Probability · Mathematics 2026-03-20 Stefan Gerhold , Julian Pachschwöll , Johannes Ruf

This paper develops an It\^o-type fractional pathwise integration theory for fractional Brownian motion with Hurst parameters \( H \in (\frac{1}{3}, \frac{1}{2}] \), using the Lyons' rough path framework. This approach is designed to fill…

Probability · Mathematics 2025-11-10 Zhongmin Qian , Xingcheng Xu

We introduce a general class of stochastic processes driven by a multifractional Brownian motion (mBm) and study the estimation problems of their pointwise H\"older exponents (PHE) based on a new localized generalized quadratic variation…

Mathematical Finance · Quantitative Finance 2018-10-17 Qidi Peng , Ran Zhao

We consider fractional Brownian motion with the Hurst parameters from (1/2,1). We found that the increment of a fractional Brownian motion can be represented as the sum of a two independent Gaussian processes one of which is smooth in the…

Probability · Mathematics 2015-10-14 Nikolai Dokuchaev

In Figueroa-L\'opez et al. (2013), a second order approximation for at-the-money (ATM) option prices is derived for a large class of exponential L\'evy models, with or without a Brownian component. The purpose of this article is twofold.…

Pricing of Securities · Quantitative Finance 2014-10-13 José E. Figueroa-López , Sveinn Ólafsson

We solve explicitly the Almgren-Chriss optimal liquidation problem where the stock price process follows a geometric Brownian motion. Our technique is to work in terms of cash and to use functional analysis tools. We show that this…

Trading and Market Microstructure · Quantitative Finance 2020-06-25 Bastien Baldacci , Jerome Benveniste

Given the promising results on joint modeling of SPX/VIX smiles of the recently introduced quadratic rough Heston model, we consider a multi-asset market making problem on SPX and its derivatives, e.g. VIX futures, SPX and VIX options. The…

Mathematical Finance · Quantitative Finance 2022-12-21 Mathieu Rosenbaum , Jianfei Zhang