This paper revisits the dynamic linkages between the Brent oil market and OECD stock markets. Econometrically, we use a multivariate corrected dynamic conditional correlation fractionally integrated asymmetric power ARCH (c-DCC-FIAPARCH) process, controlling main financial time-series features...

In December 2010, France approved the law “Nouvelle Organisation du Marché de l’Electricité” (or NOME law) to promote competition in the retail electricity market. In practice, the law allows retailers to buy nuclear production from the incumbent, at a regulated access price. This...

This paper investigates the links between price returns for 25 commodities and stocks over the period from January 2001 to November 2011, by paying a particular attention to energy raw materials. Relying on the dynamic conditional correlation (DCC) GARCH methodology, we show that the...

The aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries: oil-importer countries and exporter ones. To this end, we propose a new empirical methodology allowing a time-varying dynamic correlation measure between the...

In this paper, we discuss how fraud losses impact the price structure chosen by a monopolistic payment platform, if merchants can invest in fraud detection technologies. We show that liability rules bias the structure of the prices charged by the platform to consumers and merchants with respect...

This paper investigates the links between price returns for 25 commodities and stocks over the period from January 2001 to November 2011, by paying a particular attention to energy raw materials. Relying on the dynamic conditional correlation (DCC) GARCH methodology, we show that the...

This paper presents a very simple characterization of the technological choices underlying M-form and U-form organizations. We first show that the externalities within a function favour the M-form, which gives higher profit, higher output level and lower prices than the U-form. The major...