Events

  1. Events
  2. Seminars

Views Navigation

Event Views Navigation

Today
Notice: Utilizing the form controls will dynamically update the content

Arnaud GERMAIN (Univ. Catholique de Louvain) “Cluster aggregating: application to Early-Warning System for Non-Performing Clients”

Finance-Insurance Time: 14.00 pm Date:13th of January 2025 Room 3049 Arnaud GERMAIN (Univ. Catholique de Louvain) "Cluster aggregating: application to Early-Warning System for Non-Performing Clients" Abstract : We introduce a new ensemble learning strategy called clagging (for cluster aggregating), which consists in combining models fitted on different clusters. First, we divide the training set into […]

Julien MONARDO (University of Bristol) “Measuring Substitution Patterns with a Flexible Demand Model”

Macro seminar Time : 12h15- 13h30 Date : 23 th  January 2026 Salle 3001 Julien MONARDO (University of Bristol) "Measuring Substitution Patterns with a Flexible Demand Model" Abstract: Estimating demand substitution patterns in differentiated product markets is central to many economic questions. I propose a flexible and tractable approach to estimate substitution patterns using market-level […]

Vincent ROLLET (MIT) “t.b.a.”

Macro seminar Time : 14h00- 15h00 Date : 15 th  January 2026 Salle 3001 Vincent ROLLET (MIT) "t.b.a." Abstract:     

Elsa CAZELLES (CNRS- IRIT) – TBA

Statistical Seminar: Every Monday at 2:00 pm. Time: 2:00 pm - 3:00 pm Date: 19th January Place: 3001   Elsa CAZELLES (CNRS- IRIT) - TBA  Abstract:          Organizers: Anna KORBA (CREST), Vincent DIVOL (CREST) , Jaouad MOURTADA (CREST)     Sponsors: CREST-CMAP

Nicolas BARADEL (Inria) “Constrained deep learning for pricing and hedging European options: towards reinforcement learning extensions.”

Finance-Insurance Time: 15.00 am Date:19th of January 2025 Room 3049 Nicolas BARADEL (Inria) "Constrained deep learning for pricing and hedging European options: towards reinforcement learning extensions." Abstract : In incomplete financial markets, pricing and hedging European options lack a unique no-arbitrage solution due to unhedgeable risks. We introduce a constrained deep learning framework to determine […]