AI Frontiers in Finance:

Bridging Theory and Practice

About us

With the AI Frontiers in Finance Seminar, we want to launch a monthly online seminar series dedicated to “opening the black box” as to the technical foundations of “AI in Finance” research and providing a bridge to its practical implications and business applications. We want to raise awareness of the AI applications used in academic research and their potential for broader application. This way, the seminar will differ from others by combining expertise and fostering a dialogue that enriches both the academic and professional communities.

What to expect?

Each session will feature a presentation by an academic researcher focusing on the AI aspects of a recent paper covering different areas in finance and economics. The presentation will dive deeper into the techniques, and innovations in AI used in the paper. Following the presentation, an industry professional and the author will have a (moderated) dialogue focusing on the technical part of the paper offering insights from an application-oriented perspective. The remaining time is left for broader discussion including questions from the audience, other potential fields of application, and a short wrap-up.

Set up

We organize monthly seminars featuring cutting-edge research in AI and big data in Finance and related fields. The seminars are scheduled online from 5pm to 6pm CET every second Tuesday of the month starting on September 10th, 2024. Don’t forget to register!

Seminars 2024

Our goal is to deepen the understanding of AI in finance by bridging the gap between academic research and practical industry applications through our monthly seminar series with joint discussions between academics and industry experts.

Topic:

Real-time Machine Learning in the Cross-Section of Stock Returns

Date:

September 10th, 2024
5pm – 6pm CET

Please find supporting documents below:

    • Booklet: here
    • Presentation slides: here

Presenter:

Alberto Rossi

Georgetown University

Discussant:

Rohit Singh

Martini.ai

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Topic:

Virtue of Complexity in Factor Pricing Models

Date:

October 8th, 2024
5pm – 6pm CET

Please find supporting documents below:

Bryan Kelly Yale School of Management graduate

Presenter:

Bryan Kelly

Yale School of Management

Maximillian Stroh is the speaker from Quoniam Asset Management

Discussant:

Maximilian Stroh

Quoniam Asset Management

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Topic:

Intellectual Property Protection Lost and Competition

Date:

November 12th, 2024
5pm – 6pm CET

Please find supporting documents below:

  • Booklet: here
  • Presentation slides: here
Gordon Phillips is one of presenter that is graduated from Tuck School of Business

Presenter:

Gordon Phillips

Tuck School of Business

Jan Kinne is one of a panelist that is working for ISTARI.AI

Discussant:

Jan Kinne

ISTARI.AI

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Topic:

Artificial Intelligence and Firms’ Systematic Risk

Date:

December 10th, 2024
5pm – 6pm CET

Please find supporting documents below:

  • Booklet: here
  • Presentation slides: coming soon
  • Re-watch seminar: coming soon
Tania Babina is one of the

Presenter:

Tania Babina

Columbia Business School

Discussant:

Xaver Kelbel

Advisor

Organisers

Sascha Steffen

Frankfurt School of Finance & Management

Paulina Verhoff

Frankfurt School of Finance & Management

Birgit Frankenberg is marketing consultant from Hypeak GmbH

Birgit Frankenberg

hyPeak GmbH

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We target a diverse audience, including academic researchers, PhD students, and professionals at the intersection of AI research and finance. The goal is to cultivate a community of participants who are keen on exploring the depths of AI technology from both a theoretical and practical point of view.

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