A deep learning model for gas storage optimization N Curin, M Kettler, X Kleisinger-Yu, V Komaric, T Krabichler, J Teichmann, ... Decisions in Economics and Finance 44 (2), 1021-1037, 2021 | 18 | 2021 |
A case study for unlocking the potential of deep learning in asset-liability-management T Krabichler, J Teichmann Frontiers in Artificial Intelligence 6, 1177702, 2023 | 7 | 2023 |
Deep treasury management for banks H Englisch, T Krabichler, KJ Müller, M Schwarz Frontiers in Artificial Intelligence 6, 1120297, 2023 | 5 | 2023 |
Hedging goals T Krabichler, M Wunsch Financial Markets and Portfolio Management 38 (1), 93-122, 2024 | 4 | 2024 |
The Jarrow & Turnbull setting revisited T Krabichler, J Teichmann arXiv preprint arXiv:2004.12392, 2020 | 4 | 2020 |
Term Structure Modelling Beyond Classical Paradigms-An FX-like Approach T Krabichler ETH Zurich, 2017 | 3 | 2017 |
Automated market makers and their implications for liquidity providers W Brönnimann, P Egloff, T Krabichler Digital Finance 6 (3), 573-604, 2024 | 1 | 2024 |
Deep partial hedging S Hou, T Krabichler, M Wunsch Journal of Risk and Financial Management 15 (5), 223, 2022 | 1 | 2022 |
A constraint-based notion of illiquidity T Krabichler, J Teichmann arXiv preprint arXiv:2004.12394, 2020 | 1 | 2020 |
THE JARROW AND TURNBULL SETTING REVISITED T Krabichler, J Teichmann International Journal of Theoretical and Applied Finance 27 (Online Ready …, 2024 | | 2024 |