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We focus on extending existing short-rate models, enabling control of the generated implied volatility while preserving analyticity. We achieve this goal by applying the Randomized Affine Diffusion (RAnD) method to the class of short-rate…

Computational Finance · Quantitative Finance 2024-11-27 Lech A. Grzelak

This paper extends the valuation and optimal surrender framework for variable annuities with guaranteed minimum benefits in a L\'evy equity market environment by incorporating a stochastic interest rate described by the Hull-White model.…

Pricing of Securities · Quantitative Finance 2024-04-12 Ludovic Goudenège , Andrea Molent , Xiao Wei , Antonino Zanette

This study contributes to understanding Valuation Adjustments (xVA) by focussing on the dynamic hedging of Credit Valuation Adjustment (CVA), corresponding Profit & Loss (P&L) and the P&L explain. This is done in a Monte Carlo simulation…

Computational Finance · Quantitative Finance 2022-04-07 T. van der Zwaard , L. A. Grzelak , C. W. Oosterlee

The development of credit valuation adjustment (CVA) (valuation adjustments [XVA]) [Green] has increased the importance of simple interest rate models such as the Hull-White model [Tan14] [Tsuchiya]. This is because the XVA model is an FX…

Pricing of Securities · Quantitative Finance 2026-03-24 Osamu Tsuchiya

We introduce a perturbative formalism to solve the backward-looking futures pricing problem. The formalism is based on a time-ordered exponential series which allows to derive the functional form of the integral kernel associated to the…

Mathematical Finance · Quantitative Finance 2024-04-15 Aurelio Romero-Bermúdez , Colin Turfus

We propose a structural default model for portfolio-wide valuation adjustments (xVAs) and represent it as a system of coupled backward stochastic differential equations. The framework is divided into four layers, each capturing a key…

Computational Finance · Quantitative Finance 2025-02-24 Kristoffer Andersson , Alessandro Gnoatto

The Multi Variate Mixture Dynamics model is a tractable, dynamical, arbitrage-free multivariate model characterized by transparency on the dependence structure, since closed form formulae for terminal correlations, average correlations and…

Pricing of Securities · Quantitative Finance 2018-11-01 Damiano Brigo , Camilla Pisani , Francesco Rapisarda

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

We review and illustrate how the volatility smile translates into a probability distribution, the market-implied probability distribution representing believes priced in. The effects of changes in the smile are examined. Special attention…

Pricing of Securities · Quantitative Finance 2009-11-05 Ulrich Kirchner

We introduce a multivariate diffusion model that is able to price derivative securities featuring multiple underlying assets. Each asset volatility smile is modeled according to a density-mixture dynamical model while the same property…

Pricing of Securities · Quantitative Finance 2014-09-24 Damiano Brigo , Francesco Rapisarda , Abir Sridi

We present an empirical study examining several claims related to option prices in rough volatility literature using SPX options data. Our results show that rough volatility models with the parameter $H \in (0,1/2)$ are inconsistent with…

Mathematical Finance · Quantitative Finance 2025-04-10 Eduardo Abi Jaber , Shaun , Li

We study a Markov-Functional (MF) interest-rate model with Uncertain Volatility Displaced Diffusion (UVDD) digital mapping, which is consistent with the volatility-smile phenomenon observed in the option market. We first check the impact of…

Mathematical Finance · Quantitative Finance 2014-04-25 Feijia Wang

We propose an unbiased Monte-Carlo estimator for $\mathbb{E}[g(X_{t_1}, \cdots, X_{t_n})]$, where $X$ is a diffusion process defined by a multi-dimensional stochastic differential equation (SDE). The main idea is to start instead from a…

Probability · Mathematics 2016-03-08 Pierre Henry-Labordere , Xiaolu Tan , Nizar Touzi

Financial returns are known to exhibit heavy tails, volatility clustering and abrupt jumps that are poorly captured by classical diffusion models. Advances in machine learning have enabled highly flexible functional forms for conditional…

Risk Management · Quantitative Finance 2025-09-03 Ziyao Wang , Svetlozar T Rachev

Wrong-Way Risk (WWR) is an important component in Funding Valuation Adjustment (FVA) modelling. Yet, the standard assumption is independence between market risks and the counterparty defaults and funding costs. This typical industrial…

Computational Finance · Quantitative Finance 2024-06-07 T. van der Zwaard , L. A. Grzelak , C. W. Oosterlee

We provide explicit small-time formulae for the at-the-money implied volatility, skew and curvature in a large class of models, including rough volatility models and their multi-factor versions. Our general setup encompasses both European…

Mathematical Finance · Quantitative Finance 2023-11-15 Antoine Jacquier , Aitor Muguruza , Alexandre Pannier

We extend the short rate model of Turfus and Romero-Berm\'udez [2021] to facilitate accurate arbitrage-free analytic pricing of SOFR, SONIA or ESTR caplets, i.e. options on backward-looking compounded rates payments, in a manner consistent…

Mathematical Finance · Quantitative Finance 2023-01-04 Colin Turfus , Aurelio Romero-Bermúdez

In this paper we study partial differential equations (PDEs) that can be used to model value adjustments. Different value adjustments denoted generally as xVA are nowadays added to the risk-free financial derivative values and the PDE…

Risk Management · Quantitative Finance 2021-07-21 Falko Baustian , Martin Fencl , Jan Pospíšil , Vladimír Švígler

We derive a new, exact and transparent expansion for option smiles, which lends itself both to analytical approximation and, perhaps more importantly, to congenial numerical treatments. We show that the skew and the curvature of the smile…

Pricing of Securities · Quantitative Finance 2012-04-25 L. De Leo , V. Vargas , S. Ciliberti , J. -P. Bouchaud

The left tail of the implied volatility skew, coming from quotes on out-of-the-money put options, can be thought to reflect the market's assessment of the risk of a huge drop in stock prices. We analyze how this market information can be…

Risk Management · Quantitative Finance 2016-08-16 Ronnie Sircar , Stephan Sturm
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