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 review article describes the main contributions in the literature on term structure models of commodity prices. The first section is devoted to the theoretical analysis of the term structure. It confines itself primarily to the traditional theories of commodity prices and to their...

In this article we present an introduction to various Filtering algorithms and some of their applications to the world of Quantitative Finance. We shall first mention the fundamental case of Gaussian noises where we obtain the well-known Kalman Filter. Because of common nonlinearities, we will...

This article presents and compares two different Kalman filters. These methods provide a very interesting way to cope with the presence of non-observable variables, which is a frequent problem in finance. They are also very fast even in the presence of a large information volume. The first...

Examines the movements of the crude oil futures prices' curve in Great Britain. Relationship between the spot price and futures prices for different delivery dates; Problems in identifying the crude oil prices' movements; Factors that affect the movements of crude oil prices.

Whereas the spatial integration has already been examined in commodity markets, empirical tests on temporal integration have never been carried out. Relying on the “preferred habitat” theory, which is applied to the crude oil market, this article investigates whether this market is segmented...

In order to enhance the understanding of the term structure of commodity prices, this article examines the temporal integration of the American crude oil futures market. The study relies on a database including futures prices for very long maturities (as far as seven years) and compares their...