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20182026
most citedThe Wasserstein space of stochastic processes

3 citations · 15 across the 36 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.PR2021

Faking Brownian motion with continuous Markov martingales

Mathias Beiglböck, George Lowther, Gudmund Pammer +1

Hamza-Klebaner posed the problem of constructing martingales with Brownian marginals that differ from Brownian motion, so called fake Brownian motions. Besides its theoretical appe…

math.PR2021

Stability of the Weak Martingale Optimal Transport Problem

Mathias Beiglböck, Benjamin Jourdain, William Margheriti +1

While many questions in (robust) finance can be posed in the martingale optimal transport (MOT) framework, others require to consider also non-linear cost functionals. Following th…

q-fin.MF2021

From Bachelier to Dupire via Optimal Transport

Mathias Beiglböck, Gudmund Pammer, Walter Schachermayer

Famously mathematical finance was started by Bachelier in his 1900 PhD thesis where - among many other achievements - he also provides a formal derivation of the Kolmogorov forward…

math.PR2021★ 3 cited

The Wasserstein space of stochastic processes

Daniel Bartl, Mathias Beiglböck, Gudmund Pammer

Wasserstein distance induces a natural Riemannian structure for the probabilities on the Euclidean space. This insight of classical transport theory is fundamental for tremendous a…

math.PR2021

Approximation of martingale couplings on the line in the weak adapted topology

Mathias Beiglböck, Benjamin Jourdain, William Margheriti +1

Our main result is to establish stability of martingale couplings: suppose that is a martingale coupling with marginals . Then, given approximating marginal measures $\ti…