AIM Research Center on Quantitative Methods in AI-driven Business

Projects

Characterizing issue fields on Twitter

emlyon faculty: Dr. Clément Levallois and Dr. Jean Savinien In collaboration with: Mr. Mohamed Benabdelkrim (PhD student, emlyon & Univ Lyon 1), Pr. Cécile Robardet (Professor, Univ Lyon 1). In this project, we make a methodological contribution to the...

Data science for education

emlyon faculty: Jean Savinien, Doreid Ammar, Clément Levallois, Anissa Pomies In collaboration with: Dr. Antoine Julien (Associate Professor, NTNU, Norway) We are mining emlyon students records (transcript and first jobs), and similar Norwegian data sets from SSB,...

Inventory inaccuracy in retailing: Does it matter?

Download the white paper of the study > emlyon faculty: Yacine Rekik In collaboration with: Pr. Aris Syntetos Cardiff Business School, UK) and Pr. Christoph Glock (Darmstadt Technical University, Germany) Sponsors: ECR (Efficient Consumer Response) and 8 grocery...

Persistence in factor-based supervised learning models

emlyon faculty: Dr. Guillaume Coqueret In this paper, we document the importance of memory in machine learning (ML)-based models relying on firm characteristics for asset pricing. We come to three empirical conclusions. First, the pure out-of-sample fit of the...

Predictive regressions: a machine learning perspective

emlyon faculty: Dr. Guillaume Coqueret in collaborations with: Mr. Romain Deguest (independent) We characterize the quadratic loss that occurs when forecasting an autocorrelated process from its relationship with another autocorrelated process. When the predictions...