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Julian Sester

18 papers hereh-index 8162 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1
  • middle author6
  • last author9

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • q-fin.MF4
  • math.OC3
  • q-fin.CP3
  • q-fin.RM3
  • math.PR2
  • q-fin.PR2
same name
  • Julian Sester — 3 papers, h 2
  • Julian Sester — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedBounding the Difference between the Values of Robust and Non-Robust Markov Decision Problems

3 citations · 8 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

q-fin.RM2021

Robust deep hedging

Eva Lütkebohmert, Thorsten Schmidt, Julian Sester

We study pricing and hedging under parameter uncertainty for a class of Markov processes which we call generalized affine processes and which includes the Black-Scholes model as we…

q-fin.CP2021

A deep learning approach to data-driven model-free pricing and to martingale optimal transport

Ariel Neufeld, Julian Sester

We introduce a novel and highly tractable supervised learning approach based on neural networks that can be applied for the computation of model-free price bounds of, potentially h…

math.PR2021

On the stability of the martingale optimal transport problem: A set-valued map approach

Ariel Neufeld, Julian Sester

Continuity of the value of the martingale optimal transport problem on the real line w.r.t. its marginals was recently established in Backhoff-Veraguas and Pammer [2] and Wiesel [2…

q-fin.MF2021

Model-free price bounds under dynamic option trading

Ariel Neufeld, Julian Sester

In this paper we extend discrete time semi-static trading strategies by also allowing for dynamic trading in a finite amount of options, and we study the consequences for the model…

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