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20182023
most citedSensitivity analysis of Wasserstein distributionally robust optimization problems

24 citations · 40 across the 14 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

math.ST2022

The out-of-sample prediction error of the square-root-LASSO and related estimators

José Luis Montiel Olea, Cynthia Rush, Amilcar Velez +1

We study the classical problem of predicting an outcome variable, , using a linear combination of a -dimensional covariate vector, . We are interested in linear p…

math.OC2022★ 1 cited

Sensitivity of multiperiod optimization problems in adapted Wasserstein distance

Daniel Bartl, Johannes Wiesel

We analyze the effect of small changes in the underlying probabilistic model on the value of multi-period stochastic optimization problems and optimal stopping problems. We work in…

math.PR2022

An optimal transport based characterization of convex order

Johannes Wiesel, Erica Zhang

For probability measures and define the cost functionals \begin{align*} C(μ,ρ):=\sup_{π\in Π(μ,ρ)} \int \langle x,y\rangle\, π(dx,dy),\quad C(ν,ρ):=\sup_{π\in Π(ν,ρ)} \in…

q-fin.MF2022

Limits of Semistatic Trading Strategies

Marcel Nutz, Johannes Wiesel, Long Zhao

We show that pointwise limits of semistatic trading strategies in discrete time are again semistatic strategies. The analysis is carried out in full generality for a two-period mod…

q-fin.MF2022

Martingale Schrödinger Bridges and Optimal Semistatic Portfolios

Marcel Nutz, Johannes Wiesel, Long Zhao

In a two-period financial market where a stock is traded dynamically and European options at maturity are traded statically, we study the so-called martingale Schrödinger bridge Q*…

math.PR2022★ 2 cited

Stability of Schrödinger Potentials and Convergence of Sinkhorn's Algorithm

Marcel Nutz, Johannes Wiesel

We study the stability of entropically regularized optimal transport with respect to the marginals. Given marginals converging weakly, we establish a strong convergence for the Sch…