Unité mixte de recherche 7235

Mesure de la performance des banques dans une zone d’ancrage monétaire: cas de la France et des pays de l’UMOA

Akassi Sandrine Kablan

[en]Our study aims at measuring banking system efficiency for France and WAMU, by isolating environmental specificities to each region. Our results show that the two banking systems have quite close efficiency scores about 80%. As their french counterparts, WAMU banks are efficient; however this assertion is true in regarding the environment in which they evolve. Indeed, those banks transform collected deposits in short term loans or loans to big foreign corporations, that they are sure to recover lent amounts. This situation has the following effect: a significant part of entreprises (smal and medium ones) are under funded. The comparison of the two banking systems lead us to suggest that monetary and financial authorities implement reforms. Those reforms inspired by french ones and adapted to the WAMU specificity and environement, would help the banking system of the zone to effectively play its financial intermediary role.[/en]


mardi 17 mai 2022

Rencontres économiques

9h30 à 11h30

Comment se débarrasser des énergies fossiles et développer les énergies renouvelables dans un monde en crise ?

jeudi 19 mai 2022


Christophe Blot

Are all central bank asset purchases the same?

lundi 23 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Clara Jean (Grenoble Ecole de Management)

The Value of Your Data: Privacy and Personal Data Exchange Networks

mardi 24 mai 2022

Recherche et Economie et Socioéconomie Politique, des Institutions et des Régulations (RESPIR)

Alice Sindzingre (CEPN) et Fabrice Tricou

De 13h30 à 15h30

Six forms of hierarchy for a theoretical analysis of capitalism

lundi 30 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Antoine Dubus (ETH Zurich)

Salle G110

Data Driven Mergers and Acquisitions with Information Synergies

mardi 31 mai 2022

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Juan Pablo Montero (PUC)


jeudi 9 juin 2022


Rémi Generoso


jeudi 9 juin 2022

Groupe de travail « Intelligence artificielle »

Hugo Le Picard (IFRI)

Salle G614B

Le deep learning au service de l’analyse des énergies renouvelables en Afrique

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