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...

L’objet de la communication est de produire de la connaissance praticable sur l’organisation du travail, en construisant de nouveaux indicateurs de mesure de l’organisation du travail, quantitatifs et qualitatifs. Nous testons leur validité et leur fiabilité sur la base des données...

“Why are so many models designed and so few used” is a question often discussed within the Operational Research (OR) community. The formulation of the question seems simple, but the concepts and theories that must be mobilised to give it an answer are far more sophisticated. Would there be a...

This article is centred on the volatility of commodity prices. It presents the instruments offering a protection against volatility and shows how they can be employed. The first section exposes these derivative instruments. It distinguishes them in step with the need they respond and the way...

This paper studies the nonlinear adjustment between industrial production and carbon prices – coined as ‘the carbon-macroeconomy relationship’ – in the EU 27. We model carbon price returns and industrial production as nonlinear and state-dependent, with dynamics depending on the sign and...

This paper examines empirically whether nonlinearities play a significant role in the modeling of the carbon price. We highlight the limits of previous carbon markets analyses based essentially on a linear econometric framework. Instead, we propose to revisit the main results on carbon pricing...

This article proposes a new empirical methodology for computing a cross-market volatility index - coined CMIX - based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating...

This paper explores the forecasting abilities of Markov-Switching models. Although MS models generally display a superior in-sample fit relative to linear models, the gain in prediction remains small. We confirm this result using simulated data for a wide range of specifications. In order to...

This paper investigates the relationship between trading volume and price volatility in the crude oil and natural gas futures markets when using high-frequency data. By regressing various realized volatility measures (with/without jumps) on trading volume and trading frequency, our results...

The estimation of the jump component in asset pricing has witnessed a considerably growing body of literature. Of particular interest is the decomposition of total volatility between its continuous and jump components. Recent contributions highlight the importance of the jump component in...