| Issue Date | Title | Involved Person(s) |
| 8-Apr-2024 | Enhancing portfolio management using artificial intelligence : literature review | Sutiene, Kristina; Schwendner, Peter; Sipos, Ciprian; Lorenzo, Luis; Mirchev, Miroslav, et al |
| 17-Aug-2023 | Numerai : a beginner’s guide to the AI-run, crowd-sourced hedge fund | Bassi, Eleonóra |
| 2022 | Deep partial hedging | Hou, Songyan; Krabichler, Thomas; Wunsch, Marcus |
| 9-Sep-2021 | Interpretable machine learning for diversified portfolio construction | Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter |
| 15-Jun-2021 | Employing explainable AI to optimize the return target function of a loan portfolio | Gramespacher, Thomas; Posth, Jan-Alexander |
| 13-Mar-2021 | Matrix evolutions : synthetic correlations and explainable machine learning for constructing robust investment portfolios | Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; Krügel, Stephan |
| 2021 | Interpretable machine learning for diversified portfolio construction | Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter |
| 2021 | AI & sustainable investing : the green tech revolution enabling sustainable and responsible investment leveraging AI and Big Data | Posth, Jan-Alexander |
| 2021 | Deep reinforcement learning on a multi-asset environment for trading | Hirsa, Ali; Osterrieder, Jörg; Hadji Misheva, Branka; Posth, Jan-Alexander |
| 2020 | Employing explainable AI to optimize the return target function of a loan portfolio | Posth, Jan-Alexander; Gramespacher, Thomas |
| 2020 | ESG 4.0 : enabling sustainable and responsible investment leveraging AI and big data | Posth, Jan-Alexander; Spuck, Jochen |
| 2020 | Understanding machine learning for diversified portfolio construction by explainable AI | Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter |
