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20132026
most citedNon-Arbitrage up to Random Horizon for Semimartingale Models

13 citations · 20 across the 12 of their papers we have counts for

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math.PR2026

Sensitivity analysis of Stochastic Fluid Models: Stationary and transient quantities with applications

Anna Aksamit, Małgorzata M. O'Reilly, Zbigniew Palmowski

We establish results for the first sensitivity analysis of the stochastic fluid models (SFMs). We derive expressions for the sensitivity analysis of the key stationary and transien…

math.PR2026

Entropy and additional utility of a discrete information disclosed progressively in time

Anna Aksamit

The additional information carried by an enlarged filtration and its measurement was studied by several authors. Already Meyer (Sur un theoreme de J. Jacod, 1978) and Yor (Entropie…

math.PR2025

Switching to a Green and sustainable finance setting: a mean field game approach

Anna Aksamit, Kaustav Das, Ivan Guo +2

We consider a continuum of carbon-emitting firms who seek to maximise their stock price, and a regulator (e.g., Government) who wishes for the economy to flourish, whilst simultane…

math.PR2023★ 1 cited

Sensitivity analysis of Quasi-Birth-and-Death processes

Anna Aksamit, Małgorzata M. O'Reilly, Zbigniew Palmowski

We perform the sensitivity analysis of a level-dependent QBD with a particular focus on applications in modelling healthcare systems.

math.PR2023★ 1 cited

Random walk on a quadrant: mapping to a one-dimensional level-dependent Quasi-Birth-and-Death process (LD-QBD)

Małgorzata M. O'Reilly, Zbigniew Palmowski, Anna Aksamit

We consider a neighbourhood random walk on a quadrant, , with state space \begin{eqnarray*} \mathcal{S}&=&\{(n,m,i):n,m=0,1,2,\ldots;i=1,2,\ldots,…

math.PR2021

Generalized BSDEs with random time horizon in a progressively enlarged filtration

Anna Aksamit, Libo Li, Marek Rutkowski

We study generalized backward stochastic differential equations (BSDEs) up to a random time horizon , which is not a stopping time, under minimal assumptions regarding t…