Andreas Zimmermann

Prof. Dr. Florian Weigert

Andreas Zimmermann FinHorizon
Prof. Dr. Florian Weigert University of Neuchatel
Register Now
Details Price Qty
The Member Ticket (0 (CHF)) is available to members only. If you are a member please login. Not a member yet, but want to access all member only events? Please register.
Day Pass Ticketshow details + 50 CHF  

Summary

Investing is all about managing uncertainty. However, there is strong empirical evidence showing limited success: actively-managed funds fail to outperform their benchmarks, in the short and especially in the long run.

In the first part, Andreas J. Zimmermann shows that analytical AI opens up new opportunities to manage uncertainty holistically, by considering possible outcomes in a comprehensive way. To demonstrate the efficiency of AI, in a first step, machine learning identifies active fund strategies. Second, analytical AI automatically combines passive ETFs to replicas of active funds that have significant superior performance.

In the second part, Florian Weigert presents a novel approach to answer the key question: why it is it so hard to predict fund performance? First, he reviews patterns between active funds’ and managers’ characteristics and their future performance. Then, he uses machine learning in fund manager selection and shows how to efficiently combine predictor variables to forecast mutual fund performance. The results show that there are managers that outperform there benchmarks net of costs.

Presenters

  • Dr. Andreas Zimmermann, FinHorizon
    Current occupation development of an investment platform for financial service providers using analytical artificial intelligence, previous advising activities: evaluation of proprietary trading on the stability of the EU banking system, impact of capital regulations on the European banking industry, end-to-end design and implementation of the banks management strategy, business approach, corporate government principles, and quantitative solutions.
    Employments: University of Zurich (Professor for Macroeconomics), Lugano, Credit Suisse, KPMG Partner
    State Doctorate, Eligibility, Ph.D. thesis, summa cum laude
    Visiting Scholar Harvard University, University of Rochester USA
  • Prof. Dr. Florian Weigert, University of Neuchatel
    Florian Weigert is Professor of Financial Risk Management at the University of Neuchâtel. His research focuses on empirical asset pricing, hedge funds, mutual funds, behavioral finance, and risk management. His work has been oublished in the top academic finance journals (such as the Journal of Finance, the Review of Financial Studies, and the Journal of Financial Economics). Florian obtained his Ph.D. in Finance with Summa Cum Laude from the University of Mannheim. Before joining the faculty of Neuchâtel, he was an Assistant Professor at the University of St. Gallen and Visiting Scholar at New York University, Georgetown University, the University of Texas at Austin, and Georgia State University.

Moderation by Dr. Erich Walter Farkas. 

Agenda

18:00 Doors open – Name Tag Collection
18:15 Introduction (Dr. Walter Farkas)
18:20 Presentation 1 (Prof. Dr. Florian Weigert)
18:40 Presentation 2 (Dr. Andreas Zimmermann)
19:10 Questions & Answers ​(all)
19:30 Networking drinks (all)
20:30 End

Chapter Event

This Chapter Event is available to members and free. We will be presenting one or more speakers to share their knowledge, updates and best practices on a specific risk topic. Within the small groups of risk professionals you can exchange thoughts and test ideas. This event is hosted by chapter Analytical Methods.

  • Fund performance: Is AI the game changer to manage portfolios’ return/risk trade-off?
     3. September 2024
     18:15 - 20:45

Venue:  

Address:
University Zurich, KOL-H-317, 3rd floor, Rämistrasse 71, 8006 Zürich, Switzerland

Want to see restricted content for members?
Become a member today and enjoy full access to all presentations of our previous events. Register Login

Become a Member

Sign up today and enjoy our member benefits.

Read more

Corporate Packages Overview

New packages 2024 now available: We offer various corporate packages tailored to the specific needs of your company. Join the exclusive community, gain valuable insights and profit from networking options.

Find out more