Relying on conditional entropy and on the notion of information transfer, we investigate price relationships in the most important commodity futures market: the American crude oil market. We first show that the information shared by futures contracts with different delivery dates increases...

This article analyzes long-term dynamic hedging strategies relying on term structure models of commodity prices and proposes a new way to calibrate the models which takes into account the error associated with the hedge ratios. Different strategies, with maturities up to seven years, are tested...

The topic of this article is the analysis of the interplay between daily carbon, electricity and gas price data with the European Union Emission Trading System (EU ETS) for CO2 emissions. In a first step we have performed Granger causality tests for Phase I of the EU ETS (January 2005 until...

This chapter identifies the main price drivers of European Union Allowances (EUAs), valid for compliance under the European Union Emissions Trading Scheme (EU ETS) created in 2005 to regulate CO2 emissions of more than 10,000 high carbon-intensive installations across Member States. Based on key...

Linking a cap-and-trade with an offset mechanism has many theoretical advantages: it reduces compliance costs, extends the price signal outside the cap-and-trade, and triggers technology transfer. However, it is feared that such linking will induce outsourcing of emissions reduction at a low...

Cet article propose une revue des études économétriques récentes ayant fait usage des statistiques désagrégées de la Commodity Futures Trading Commission (CFTC) aux Etats-Unis concernant les positions ouvertes sur les marchés dérivés du pétrole par type d'acteur. La distinction plus...

The paper models a program of high‐activity nuclear‐waste management. The physics of cooling incites to store hot waste for a while to spare scarce disposal volume: indeed, colder parcels may be put in tighter conditions. The optimal unconstrained duration of storage is characterized....