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Prof. Dr. David Prömel
Susanne Spether
Martin Bergerhausen
Mihriban Ceylan
Anna Kwossek
Paul Nikolaev
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HWS 2024
Mathematical Finance
Stochastic Calculus
Seminar “Finanzmathematik”
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School of Business Informatics and Mathematics
Prof. Dr. David Prömel
Research
Publications
Preprints
Neural stochastic Volterra equations: learning path-dependent dynamics
,
with David Scheffels, arXiv:2407.19557, 2024.
Functional differential equations driven by càdlàg rough paths
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with Anna P. Kwossek and Andreas Neuenkirch, arxiv:2403.17573, 2024.
Characterization of Besov spaces with dominating mixed smoothness by differences
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with Paul Nikolaev and Mathias Trabs, arXiv:2403.04469, 2024.
Quantitative relative entropy estimates on the whole space for convolution interaction forces
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with Paul Nikolaev, arXiv:2401.08938, 2024.
Pathwise convergence of the Euler scheme for rough and stochastic differential equations
,
with Andrew L. Allan, Anna P. Kwossek and Chong Liu, arXiv:2309.16489, 2023.
Mean-field stochastic Volterra equations
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with David Scheffels, arXiv:2307.13775, 2023.
Papers
Hegselmann-Krause model with environmental noise
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with Li Chen and Paul Nikolaev, to appear in Trans. Amer. Math. Soc., 2024+.
Pathwise uniqueness for singular stochastic Volterra equations with Hölder coefficients
,
with David Scheffels, to appear in Stoch. PDE: Anal. Comp., 2024+.
Well-posedness of diffusion-aggregation equations with bounded kernels and their mean-field approximations
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with Li Chen and Paul Nikolaev, Math. Methods Appl. Sci., vol. 47, no. 11, p. 9222--9248, 2024.
A Càdlàg Rough Path Foundation for Robust Finance
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with Andrew L. Allan and Chong Liu, Finance Stoch., vol. 28, no. 1, p. 215--257, 2024.
On the existence of weak solutions to stochastic Volterra equations
,
with David Scheffels, Electron. Commun. Probab., vol. 28, no. 52, p. 1--12, 2023.
Model-free Portfolio Theory: A Rough Path Approach
,
with Andrew L. Allan, Christa Cuchiero, Chong Liu, Math. Finance, vol. 33, no. 3, p. 709--765, 2023.
Stochastic Volterra equations with Hölder diffusion coefficients
,
with David Scheffels, Stoch. Process. Appl., vol. 161, p. 291--315, 2023.
Optimal extension to Sobolev rough paths
,
with Chong Liu and Josef Teichmann, Potential Anal. 59, vol. 59, p. 1399--1424, 2023.
A Sobolev rough path extension theorem via regularity structures
,
with Chong Liu and Josef Teichmann, ESAIM Probab. Stat., vol. 27, p. 136--155, 2023.
One-dimensional game-theoretic differential equations
,
with Rafał M. Łochowski and Nicolas Perkowski. Int. J. Approx. Reason., vol. 141, p. 11--27, 2022.
Càdlàg rough differential equations with reflecting barriers
,
with Andrew L. Allan and Chong Liu, Stoch. Process. Appl., vol. 142, p. 79--104, 2021.
Paracontrolled distribution approach to stochastic Volterra equations
,
with Mathias Trabs, J. Differential Equations, vol. 302, p. 222--272, 2021.
Local times and Tanaka-Meyer formulae for cadlag paths
,
with Rafał Łochowski, Jan Obłój, and Pietro Siorpaes, Electron. J. Probab., vol. 26, no. 77, p. 1--29, 2021.
Martingale Optimal Transport Duality
,
with Patrick Cheridito, Matti Kiiski and H. Mete Soner, Math. Ann., vol. 379, no. 3–4, p. 1685--1712 , 2021.
Stochastic Analysis with Modelled Distributions
,
with Chong Liu and Josef Teichmann, Stoch. PDE: Anal. Comp., vol. 9, no. 2, p. 343--379, 2021.
On Sobolev rough paths
,
with Chong Liu and Josef Teichmann, J. Math. Anal. Appl., vol. 497, no. 1, 124876, 2021.
Existence and uniqueness results for time-inhomogeneous time-change equations and Fokker-Planck equations
,
with Leif Döring, Lukas Gonon and Oleg Reichmann
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J. Theoret. Probab. 34, no. 1, p. 173–205, 2021.
Characterization of non-linear Besov spaces
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with Chong Liu and Josef Teichmann, Trans. Amer. Math. Soc., vol. 373, no. 1, p. 529–550, 2020.
On Skorokhod Embeddings and Poisson Equations
,
with Leif Döring, Lukas Gonon and Oleg Reichmann, Ann. Appl. Probab., vol. 29, no. 4, p. 2302-2337, 2019.
Duality for pathwise superhedging in continuous time
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with Daniel Bartl, Michael Kupper and Ludovic Tangpi, Finance Stoch., vol. 23, no. 3, p. 697–728, 2019.
A superhedging approach to stochastic integration
,
with Rafał M. Łochowski and Nicolas Perkowski, Stoch. Process. Appl., vol. 128, no. 12, p. 4078–4103, 2018.
Rough path metrics on a Besov-Nikolskii type scale
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with Peter K. Friz, Trans. Amer. Math. Soc., vol. 370, no. 12, p. 8521-8550, 2018.
Examples of Itô càdlàg rough paths
,
with Chong Liu, Proc. Amer. Math. Soc., vol. 146, no. 11, p. 4937-4950, 2018.
Pathwise super-replication via Vovk's outer measure
,
with Mathias Beiglböck, Alexander M. G. Cox, Martin Huesmann and Nicolas Perkowski, Finance Stoch., vol. 21, no. 4, p. 1141-1166, 2017.
Rough differential equations driven by signals in Besov spaces
,
with Mathias Trabs, J. Differential Equations, vol. 260, no. 6, p. 5202-5249, 2016.
Pathwise stochastic integrals for model free finance
,
with Nicolas Perkowski, Bernoulli, vol. 22, no. 4, p. 2486-2520, 2016.
Existence of Levy's area and pathwise integration
,
with Peter Imkeller, Commun. Stoch. Anal., vol. 9, no. 1, p. 93–111, 2015.
An FBSDE approach to the Skorokhod embedding problem for Gaussian processes with non-linear drift
,
with Alexander Fromm and Peter Imkeller, Electron. J. Probab., vol. 20, no. 127, 1–38, 2015.
Local times for typical price paths and pathwise Tanaka formulas
,
with Nicolas Perkowski, Electron. J. Probab., vol. 20, no. 46, p. 1–15, 2015.
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