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Modern sequential recommender systems, ranging from lightweight transformer-based variants to large language models, have become increasingly prominent in academia and industry due to their strong performance in the next-item prediction…

Information Retrieval · Computer Science 2025-08-11 Danil Gusak , Anna Volodkevich , Anton Klenitskiy , Alexey Vasilev , Evgeny Frolov

The aim of this article is to provide a systematic analysis of the conditions such that Fourier transform valuation formulas are valid in a general framework; i.e. when the option has an arbitrary payoff function and depends on the path of…

Pricing of Securities · Quantitative Finance 2010-07-08 Ernst Eberlein , Kathrin Glau , Antonis Papapantoleon

When expanding a filtration with a stochastic process it is easily possible for semimartingale no longer to remain semimartingales in the enlarged filtration. Y. Kchia and P. Protter indicated a way to avoid this pitfall in 2015, but they…

Probability · Mathematics 2020-02-18 Léo Neufcourt , Philip Protter

Let $(X_t)_{t\ge0}$ be a continuous-time, time-homogeneous strong Markov process with possible jumps and let $\tau$ be its first hitting time of a Borel subset of the state space. Suppose $X$ is sampled at random times and suppose also that…

Probability · Mathematics 2008-12-02 Xin Guo , Yan Zeng

We introduce an extension of the P\'olya tree approach for constructing distributions on the space of probability measures. By using optional stopping and optional choice of splitting variables, the construction gives rise to random…

Statistics Theory · Mathematics 2010-10-05 Wing H. Wong , Li Ma

In the variational approach to quantum statistics, a smearing formula describes efficiently the consequences of quantum fluctuations upon an interaction potential. The result is an effective classical potential from which the partition…

Quantum Physics · Physics 2008-11-26 Hagen Kleinert , Werner Kuerzinger , Axel Pelster

In the present paper we address stochastic optimal control problems for a step process $(X,\mathbb{F})$ under a progressive enlargement of the filtration. The global information is obtained adding to the reference filtration $\mathbb{F}$…

Probability · Mathematics 2021-12-28 Elena Bandini , Fulvia Confortola , Paolo Di Tella

A time-dependent double-barrier option is a derivative security that delivers the terminal value $\phi(S_T)$ at expiry $T$ if neither of the continuous time-dependent barriers $b_\pm:[0,T]\to \RR_+$ have been hit during the time interval…

Pricing of Securities · Quantitative Finance 2008-12-02 Aleksandar Mijatovic

The paper studies thin times which are random times whose graph is contained in a countable union of the graphs of stopping times with respect to a reference filtration $\mathbb F$. We show that a generic random time can be decomposed into…

Probability · Mathematics 2018-04-06 Anna Aksamit , Tahir Choulli , Monique Jeanblanc

We study frequency linear-time temporal logic (fLTL) which extends the linear-time temporal logic (LTL) with a path operator $G^p$ expressing that on a path, certain formula holds with at least a given frequency p, thus relaxing the…

Logic in Computer Science · Computer Science 2015-06-29 Vojtěch Forejt , Jan Krčál

It is known from previous work of the authors that non-negative arbitrage free price processes in finance can be described in terms of filtered likelihood processes of statistical experiments and vice versa. The present paper summarizes and…

Probability · Mathematics 2014-08-27 Arnold Janssen , Martin Tietje

This work is concerned with the theory of initial and progressive enlargements of a reference filtration F with a random time {\tau}. We provide, under an equivalence assumption, slightly stronger than the absolute continuity assumption of…

Probability · Mathematics 2011-11-15 Giorgia Callegaro , Monique Jeanblanc , Behnaz Zargari

Suppose $\mu$ and $\nu$ are probability measures on $\mathbb R$ satisfying $\mu \leq_{cx} \nu$. Let $a$ and $b$ be convex functions on $\mathbb R$ with $a \geq b \geq 0$. We are interested in finding \[ \sup_{\mathcal M} \sup_{\tau}…

Mathematical Finance · Quantitative Finance 2025-03-20 David Hobson , Dominykas Norgilas

Let $X$ be a point process and let $\mathbb{X}$ denote the filtration generated by $X$. In this paper we study martingale representation theorems in the filtration $\mathbb{G}$ obtained as an initial and progressive enlargement of the…

Probability · Mathematics 2020-09-09 Paolo Di Tella , Monique Jeanblanc

We offer multiplication method for factoring big natural numbers which extends the group of the Fermat's and Lehman's factorization algorithms and has run-time complexity $O(n^{1/3})$. This paper is argued the finiteness of proposed…

Data Structures and Algorithms · Computer Science 2019-04-01 Igor Nesiolovskiy , Artem Nesiolovskiy

In this paper, we combine the operator splitting methodology for abstract evolution equations with that of stochastic methods for large-scale optimization problems. The combination results in a randomized splitting scheme, which in a given…

Numerical Analysis · Mathematics 2022-10-12 Monika Eisenmann , Tony Stillfjord

Let X and Y be an m-dimensional F-semimartingale and an n-dimensional H-semimartingale respectively on the same probability space, both enjoying the strong predictable representation property. We propose a martingale representation result…

Probability · Mathematics 2018-10-22 Antonella Calzolari , Barbara Torti

We extend the theoretical results for any FOU(p) processes for the case in which the Hurst parameter is less than 1/2 and we show theoretically and by simulations that under some conditions on T and the sample size n it is possible to…

Statistics Theory · Mathematics 2021-12-10 Juan Kalemkerian

A single jump filtration $({\mathscr{F}}_t)_{t\in \mathbb{R}_+}$ generated by a random variable $\gamma$ with values in $\overline{\mathbb{R}}_+$ on a probability space $(\Omega ,{\mathscr{F}},\mathsf{P})$ is defined as follows: a set $A\in…

Probability · Mathematics 2020-06-29 Alexander A. Gushchin

Motivation for this paper is to understand the impact of information on asset price bubbles and perceived arbitrage opportunities. This boils down to study optional projections of $\mathbb{G}$-adapted strict local martingales into a smaller…

Mathematical Finance · Quantitative Finance 2020-03-24 Francesca Biagini , Andrea Mazzon , Ari-Pekka Perkkiö