This paper analyzes the special features of electricity spot prices derived from the physics of this commodity and from the economics of supply and demand in a market pool. Besides mean-reversion, a property they share with other commodities, power prices exhibit the unique feature of spikes in...

This paper explores the relationship between innovation and vocational training. We consider a linear feedback model to explain the dynamics of count data processes relative to patenting activities, R&D and training expenditures. Estimations are made on a panel data set relative to French...

This article investigates the effects of human capital and technological capital on innovation. While the role of technological capital as measured by research and development (R&D) expenditure has been intensively investigated, few studies have been made on the effect of employee training on...

Notre étude a pour objectif de mesurer les effets spatiaux des externalités de connaissances sur la production de brevets des firmes, au niveau des villes. Nous utilisons une méthode originale basée sur le maximum d'entropie généralisé. Cette méthode permet de tester l'auto-correlation...

Human capital is considered as one of the main inputs in economic growth. Human capital can generate endogenous growth thanks to a continuous process of knowledge and externalities accumulation (Aghion and Howitt, 1998). In that context, this paper explores the relationship between innovation...

Financial crisis are often associated with an endogenous credit reversal fol- lowed by a fall in asset prices and failures of financial institutions. To account for this sequence of events, this paper constructs a model where the excess risk-taking of portfolio investors leads to a bubble in...

We consider the probabilistic numerical scheme for fully nonlinear PDEs suggested in [12], and show that it can be introduced naturally as a combination of Monte Carlo and finite differences scheme without appealing to the theory of backward stochastic differential equations. Our first main...

A viability algorithm is developed to compute the constrained minimum time function for general dynamical systems. The algorithm is instantiated for a specific dynamics(Dubin’s vehicle forced by a flow field) in order to numerically solve the minimum time problem. With the specific...

With hedgefunds, managers develop risk management models that mainly aim to play on the effect of de correlation.In order to achieve this goal,companies use the correlation coefficient as an indicator for measuring dependencies existing between(i)the various hedge funds strategies and share...