Thu, 29 Feb 2024

11:00 - 12:00
C3

Coherent group actions

Martin Bays
(University of Oxford)
Abstract

I will discuss aspects of some work in progress with Tingxiang Zou, in which we continue the investigation of pseudofinite sets coarsely respecting structures of algebraic geometry, focusing on algebraic group actions. Using a version of Balog-Szemerédi-Gowers-Tao for group actions, we find quite weak hypotheses which rule out non-abelian group actions, and we are applying this to obtain new Elekes-Szabó results in which the general position hypothesis is fully weakened in one co-ordinate.

The wheel classes in the locally finite homology of
$\mathrm{GL}_n(\mathbb{Z})$, canonical integrals and zeta values
Brown, F Schnetz, O (09 Feb 2024) http://arxiv.org/abs/2402.06757v3
Structural identifiability analysis of linear reaction–advection–diffusion processes in mathematical biology
Browning, A Tasca, M Falco, C Baker, R Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 480 issue 2286 (27 Mar 2024)
Twistor Theory: Some Applications
Mason, L Encyclopedia of Mathematical Physics: Five-Volume Set V5-303-V5-311 (01 Jan 2006)
Thu, 29 Feb 2024
16:00
L3

Martingale Benamou-Brenier: arthimetic and geometric Bass martingales

Professor Jan Obloj
(Mathematical Institute)
Further Information

Please join us for refreshments outside L3 from 1530.

Abstract

Optimal transport (OT) proves to be a powerful tool for non-parametric calibration: it allows us to take a favourite (non-calibrated) model and project it onto the space of all calibrated (martingale) models. The dual side of the problem leads to an HJB equation and a numerical algorithm to solve the projection. However, in general, this process is costly and leads to spiky vol surfaces. We are interested in special cases where the projection can be obtained semi-analytically. This leads us to the martingale equivalent of the seminal fluid-dynamics interpretation of the optimal transport (OT) problem developed by Benamou and Brenier. Specifically, given marginals, we look for the martingale which is the closest to a given archetypical model. If our archetype is the arithmetic Brownian motion, this gives the stretched Brownian motion (or the Bass martingale), studied previously by Backhoff-Veraguas, Beiglbock, Huesmann and Kallblad (and many others). Here we consider the financially more pertinent case of Black-Scholes (geometric BM) reference and show it can also be solved explicitly. In both cases, fast numerical algorithms are available.

Based on joint works with Julio Backhoff, Benjamin Joseph and Gregoire Leoper.  

This talk reports a work in progress. It will be done on a board.

Rocket Science or Social Science? Involving Women in the Creation of Computing
Martin, U Liff, S Dutton, W Light, A (01 Jan 2004)
Deep Attentive Survival Analysis in Limit Order Books: Estimating Fill Probabilities with Convolutional-Transformers
Arroyo, Á Cartea, Á Moreno-Pino, F Zohren, S
15 years of Adjoint Algorithmic Differentiation (AAD) in finance
Capriotti, L Giles, M Quantitative Finance volume 24 issue 9 1353-1379 (22 Mar 2024)
Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution
Yang, J Heinrich, T Winkler, J Lafond, F Koutroumpis, P Farmer, J (11 Oct 2019)
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