Finance et IA : repousser les frontières

The objective of this session is to showcase the contributions of AI, particularly generative AI, in the field of finance. A panel discussion featuring various finance and consulting professionals will present different use cases of AI and discuss the benefits and limitations of the solutions provided. This roundtable will be followed by two academic presentations from researchers of the DRM Finance team at Paris Dauphine-PSL. The day will conclude with a keynote address on the contributions of complex AI models in finance 

Coordinator : Fabrice Riva, finance professor, director of the Master 225 in Corporate Finance and Financial Engineering, Director of the AI axis of the Fintech Chair, Université Paris Dauphine-PSL

• 14h – 15h : Roundtable : Transforming finance with AI

The objective of this roundtable is to present difference use cases of (generative) AI and discuss the benefits and limitations of the solutions provided 

Tom Ceusters, IFC, Director of Treasury Capital Markets & Investments
Emmanuel Hauptmann, Ram ai, CIO, Head of Systematic Equities
Alex Marandon, Capgemini Invent, Vice-President | Global Head of Invent Generative AI Accelerator
Christophe Morel, Groupama Asset Management, Chief Economist
Moderator : Serge Darolles, Professor, Université Paris Dauphine-PSL 

• 15h - 16h10 : Research article presentations 
   
  • AI Adoption, Incentives, and Market Outcomes
    Vincent TENA,Université Paris Dauphine - PSL, DRM Finance, Université Paris Dauphine - PSL
     
  • Enhancing Event Study Power with Machine Learning
    Fabrice RIVA, (joint with Rémi Genet) finance professor, director of the Master 225 in Corporate Finance and Financial Engineering, Université Paris Dauphine - PSL, DRM Finance, Université Paris Dauphine - PSL

Coffee break

• 16h30 – 17h30 : Keynote : The Virtue of Complexity

Contrary to conventional wisdom, simple models of financial and economic systems severely underperform relative to "complex" models in which the number of parameters exceeds the number of observations. This talk will present empirical evidence, discuss the underlying economic mechanisms, and offer a broad perspective on finance and economics through the lens of statistical complexity. 
 
Semyon Malamud Research Fellow, Swiss Finance Institute Senior Chair, Ecole Polytechnique Fédérale de Lausanne (EPFL)

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