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Laplace interpolation is a popular approach in image inpainting using partial differential equations. The classic approach considers the Laplace equation with mixed boundary conditions. Recently a more general formulation has been proposed…

Analysis of PDEs · Mathematics 2018-01-30 Laurent Hoeltgen , Andreas Kleefeld , Isaac Harris , Michael Breuß

This paper deals with a high-order accurate implicit finite-difference approach to the pricing of barrier options. In this way various types of barrier options are priced, including barrier options paying rebates, and options on…

Pricing of Securities · Quantitative Finance 2008-12-02 J. C. Ndogmo , D. B. Ntwiga

Stochastic processes time-changed by an inverse subordinator have been suggested as a way to model the price of assets in illiquid markets, where the jumps of the subordinator correspond to periods of time where one is unable to sell an…

Probability · Mathematics 2021-10-18 Joonyong Choi , David Clancy

Variable selection in high-dimensional spaces is a pervasive challenge in contemporary scientific exploration and decision-making. However, existing approaches that are known to enjoy strong statistical guarantees often struggle to cope…

Methodology · Statistics 2024-07-31 Tianrui Hou , Liwei Wang , Yves Atchadé

We propose a generalization of Laplace transformations to the case of linear partial differential operators (LPDOs) of arbitrary order in R^n. Practically all previously proposed differential transformations of LPDOs are particular cases of…

Analysis of PDEs · Mathematics 2013-10-23 Elena I. Ganzha

We provide analytical tools for pricing power options with exotic features (capped or log payoffs, gap options ...) in the framework of exponential L\'evy models driven by one-sided stable or tempered stable processes. Pricing formulas take…

Pricing of Securities · Quantitative Finance 2021-01-20 Jean-Philippe Aguilar

In this paper we present methods for the synthesis of polynomial invariants for probabilistic transition systems. Our approach is based on martingale theory. We construct invariants in the form of polynomials over program variables, which…

Logic in Computer Science · Computer Science 2019-10-29 Anne Schreuder , C. -H. Luke Ong

Taylor series is a useful mathematical tool when describing and constructing a function. With the series representation, some properties of fractional calculus can be revealed clearly. This paper investigates two typical applications:…

General Mathematics · Mathematics 2020-02-18 Yiheng Wei , Da-Yan Liu , Peter W. Tse , Yong Wang

A natural extension of a right-continuous integer-valued random walk is one which can jump to the right by one or two units. First passage times above a given fixed level then admit a tractable Laplace transform (probability generating…

Probability · Mathematics 2014-08-13 Matija Vidmar

Semi-analytical pricing of American options in a time-dependent Ornstein-Uhlenbeck model was presented in [Carr, Itkin, 2020]. It was shown that to obtain these prices one needs to solve (numerically) a nonlinear Volterra integral equation…

Computational Finance · Quantitative Finance 2023-07-27 Andrey Itkin , Dmitry Muravey

We present an approximation method based on the mixing formula (Hull & White 1987, Romano & Touzi 1997) for pricing European options in Barndorff-Nielsen and Shephard models. This approximation is based on a Taylor expansion of the option…

Computational Finance · Quantitative Finance 2024-04-22 Álvaro Guinea Juliá , Alet Roux

We use Lie symmetry methods to price certain types of barrier options. Usually Lie symmetry methods cannot be used to solve the Black-Scholes equation for options because the function defining the maturity condition for an option is not…

Analysis of PDEs · Mathematics 2013-12-12 A. H. Davison , T. Sidogi

We propose an offline-online procedure for Fourier transform based option pricing. The method supports the acceleration of such essential tasks of mathematical finance as model calibration, real-time pricing, and, more generally, risk…

Computational Finance · Quantitative Finance 2016-11-07 Maximilian Gaß , Kathrin Glau , Maximilian Mair

Using the Laplace derivative a Perron type integral, the Laplace integral, is defined. Moreover, it is shown that this integral includes Perron integral and to show that the inclusion is proper, an example of a function is constructed,…

Classical Analysis and ODEs · Mathematics 2021-06-08 S. Mahanta , S. Ray

In ref [math.ST/0411462] the notion of statistically dual distributions is introduced. The reconstruction of confidence density [AIP Conference Proceedings 803 (2005) 398] for the location parameter for several pairs of statistically dual…

Data Analysis, Statistics and Probability · Physics 2013-11-26 S. Bityukov , N. Krasnikov , V. Smirnova , V. Taperechkina

To verify theoretical results it is sometimes important to use a numerical example where the solution has a particular regularity. The paper describes one approach to construct such examples. It is based on the regularity theory for…

Numerical Analysis · Mathematics 2025-03-10 Thomas Apel , Katharina Lorenz , Serge Nicaise

Variational methods are employed in situations where exact Bayesian inference becomes intractable due to the difficulty in performing certain integrals. Typically, variational methods postulate a tractable posterior and formulate a lower…

Machine Learning · Statistics 2019-06-12 Nikolaos Gianniotis , Christoph Schnörr , Christian Molkenthin , Sanjay Singh Bora

We employ a variational approach to study the Neumann boundary value problem for the $p$-Laplacian on bounded smooth-enough domains in the metric setting, and show that solutions exist and are bounded. The boundary data considered are Borel…

Metric Geometry · Mathematics 2016-09-23 Lukáš Malý , Nageswari Shanmugalingam

In equity and foreign exchange markets the risk-neutral dynamics of the underlying asset are commonly represented by stochastic volatility models with jumps. In this paper we consider a dense subclass of such models and develop analytically…

Pricing of Securities · Quantitative Finance 2010-10-11 Aleksandar Mijatović , Martijn Pistorius

Pricing options is an important problem in financial engineering. In many scenarios of practical interest, financial option prices associated to an underlying asset reduces to computing an expectation w.r.t.~a diffusion process. In general,…

Computation · Statistics 2016-08-12 Deborshee Sen , Ajay Jasra , Yan Zhou