works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

9 papers

q-fin.TR2026

Optimal Execution with Passive Market Impact

Alexander Barzykin, Robert Boyce, Eyal Neuman +1

The paper proposes a mesoscopic model for optimal execution using passive limit orders, capturing how fill probabilities decay exponentially with quote distance and how prices resp…

math.OC2026

Potential Games on Unimodular Random Graphs

Eyal Neuman, Sturmius Tuschmann

We study potential games on unimodular random graphs of bounded degree, where players interact through the underlying network. Using the unimodular measure, we define a well-posed…

math.OC2026

Stochastic Games on Large Sparse Graphs

Eyal Neuman, Sturmius Tuschmann

We introduce a framework for stochastic games on large sparse graphs, covering continuous-time and discrete-time dynamic games as well as static games. Players are indexed by the v…

q-fin.PM2026

Optimal Portfolio Choice with Cross-Impact Propagators

Eduardo Abi Jaber, Eyal Neuman, Sturmius Tuschmann

We consider a class of optimal portfolio choice problems in continuous time where the agent's transactions create both transient cross-impact driven by a matrix-valued Volterra pro…

q-fin.TR2025

Nonparametric Estimation of Self- and Cross-Impact

Natascha Hey, Eyal Neuman, Sturmius Tuschmann

We introduce an offline nonparametric estimator for concave multi-asset propagator models based on a dataset of correlated price trajectories and metaorders. Compared to parametric…

math.OC2025

Stochastic Graphon Games with Interventions

Eyal Neuman, Sturmius Tuschmann

We consider a class of targeted intervention problems in dynamic network and graphon games. First, we study a general dynamic network game in which players interact over a graph an…