Classifying and modeling nonlinearity in commodity prices using Incotemrs

This paper proposes a novel approach of classifying and modeling the nonlinear behavior of commodity prices using regime-switching models with exogenous transition variables. The approach rests on using the International Commercial Terms (Incoterms), also known as border prices, to classify commodities in groups that tend to display similar dynamics. The suggested border price classification is useful in identifying the key exogenous driving variables in each group. In particular, the classification suggests that inflation and oil price are the best transition candidates that are capable of capturing the nonlinear dynamics of free on board (FOB) and cost insurance and freight (CIF) prices respectively. Our statistical linearity tests and estimation results confirm this prediction and highlight the importance of the suggested border price classification in improvingour understanding of the behavior of commodity prices