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Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns

  • Host institution: Bern Business School, Switzerland (BFH)

  • Starting month: M6

  • Duration: 36 months

  • Pillar 1: The need for explainable AI: methods and applications in finance (Bern University of Applied Sciences, 4 ECTs), Work Package 3

  • Work Packages: WP3, WP6, WP7, WP8


The surge in interest in algorithmic fairness and sustainability is present in numerous fields of study, including finance and portfolio management in particular. This project's objective is to create new portfolio optimization models that address some of the difficulties associated with incorporating fairness and sustainability into investment management. The objective of the project is to increase understanding of the source and methods for eliminating algorithmic bias in finance in order to generate sustainable outcomes. The project will equip financial institutions with new sustainable and equitable algorithmic solutions to increase customer trust.

Expected Results

The primary anticipated outcome of the project is the development of new algorithmic solutions for multiple areas of finance, such as sustainable portfolio management. The project will equip financial institutions with new tools to comply with EU sustainability regulations. The subsequent anticipated outcome is the publication of a library containing all of the designed algorithms in a public repository. A significant emphasis will be placed on the dissemination of the anticipated results, which will be accomplished through the following channels: at least one publication in prestigious open-access journals and at least three presentations at prestigious conferences and open events. The final outcome of the project will be a comprehensive exchange of knowledge with project partners.

Planned Secondments

  • Royalton Partners (ROY), Dr. Michael Althof, M24, 18 months, for training in portfolio optimization of ETFs

  • Fraunhofer Institute (FRA), Prof. Dr. Ralf Korn, M18, 4 months, for training in portfolio optimization in the presence of sustainability scenarios

Planned Timetable

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