Compressed Air Energy Storage is recognized as a promising technology for applying energy storage to grids which are more and more challenged by the increasing contribution of renewable such as solar or wind energy. The paper proposes a medium-size ground-based CAES system, based on pressurized...

This paper proposes a new method for determining the upper bound of any investment strategy's maximum profit, applied in a given time window [0, T]. This upper bound is defined once all the prices are known at time T and therefore represents the ex-post maximum efficiency of any investment...

We study the impact of the network topology on various market parameters (volatility, liquidity and efficiency) when three populations or artificial trades interact (Noise, Informed and Social Traders). We show, using an agent-based set of simulations that choosing a Regular, a Erdös-Rényi or...

The Efficient Market Hypothesis (EMH) is one of the most investigated questions in Finance. Nevertheless, it is still a puzzle, despite the enormous amount of research it has provoked. For instance, it is still discussed that market cannot be outperformed in the long run (Detry and Gregoire,...

Resource reallocation problems are common in real life and therefore gain an increasing interest in Computer Science and Economics. Such problems consider agents living in a society and negotiating their resources with each other in order to improve the welfare of the population. In many studies...

Since the first multi-agents based market simulations in the nineties, many different artificial stock market models have been developped. There are mainly used to reproduce and understand real markets statistical properties such as fat tails, volatility clustering and positive auto-correlation...

La simulation informatique a permis aux disciplines dépourvues de la possibilité de réaliser des expériences de se doter d'outils leur permettant d'évaluer leurs hypothèses et leurs modèles. Elle reste toutefois cantonnée à l'intégration numérique de modèles mathématiques ou...

L'usage croissant de la simulation multi-agents pour modéliser des systèmes pourvoyeurs de grandes quantités de données, suppose l'identification automatique des paramètres pertinents ou l'extraction de connaissances à partir des données réelles, faute de quoi la fiabilité des...