Unité mixte de recherche 7235

The increasing interest of Middle Eastern Sovereign Wealth Funds for Europe: presenting original data

Françoise Hay, Christian Milelli

[en]The paper examines the rise of Sovereign Wealth Funds (SWFs) as a new source of financing investment worldwide and, more specifically, tries to get a better understanding of SWFs from Middle East which accounted in 2013 for 35 percent of overall assets managed by them, with the bulk of them focused on Developed countries, and in particular on Europe. The paper is descriptive and informative. It is based on an original database set up from different sources of information. The idea is to advance the main characteristics of these new investors, and also to assess the primary consequences of their operations on European economies. The role of the states as important arbiters of market economies is emphasized as well as the shift of power in favor of the emerging economies.[/en]

AGENDA

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

Lunch

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)

TBA

jeudi 9 juin 2022

Lunch

Rémi Generoso

TBA

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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